diff --git a/arkindex/dataimport/tasks/base.py b/arkindex/dataimport/tasks/base.py
index cafb6d1c9a5cb42a12ddefee092f089a4db24ec5..0f97d68f068af28216cb3026f6e13e16575ed85f 100644
--- a/arkindex/dataimport/tasks/base.py
+++ b/arkindex/dataimport/tasks/base.py
@@ -2,8 +2,9 @@ from celery import shared_task
from celery.signals import task_postrun
from celery.states import EXCEPTION_STATES
from django.conf import settings
+from arkindex_common.ml_tool import MLTool, MLToolType
from arkindex.project.celery import ReportingTask
-from arkindex.documents.models import Element, ElementType, Page, TranscriptionType
+from arkindex.documents.models import Element, ElementType, Page, TranscriptionType, DataSource, Classification
from arkindex.documents.importer import import_page
from arkindex.documents.tasks import generate_thumbnail
from arkindex.images.models import ImageServer, ImageStatus
@@ -59,8 +60,10 @@ def build_volume(self, files, dataimport, server_id=settings.LOCAL_IMAGESERVER_I
generate_thumbnail(volume.id)
return {
'pages': pages,
- 'classifier': settings.ML_DEFAULT_CLASSIFIER,
- 'recognizer': settings.ML_DEFAULT_RECOGNIZER,
+ 'tools': [
+ (MLToolType.Classifier, settings.ML_DEFAULT_CLASSIFIER),
+ (MLToolType.Recognizer, settings.ML_DEFAULT_RECOGNIZER),
+ ],
}
@@ -73,35 +76,79 @@ def save_ml_results(self, results, **kwargs):
'''
assert isinstance(results, dict)
- pages = Page.objects.filter(pk__in=list(results.keys()))
- for page in pages:
- result = results.get(page.id)
- if result is None:
- continue
-
- tr_items = result['zones']
- # Parse transcription types
- for item in tr_items:
- item['type'] = TranscriptionType(item['type'])
-
- trpolygons = build_transcriptions(
- parent=page,
- image=page.zone.image,
- items=tr_items,
- )
-
- if trpolygons:
- transcriptions, _ = save_transcriptions(*trpolygons)
- self.report_message('Saved transcriptions for {}'.format(page))
- index_transcriptions(transcriptions)
- self.report_message('Indexed transcriptions for {}'.format(page))
-
- page.build_text()
- page.classification = result['classification']
- page.save()
- self.report_message("Updated ML results for {}".format(page))
-
- return list(map(str, results.keys()))
+ page_ids = set()
+ for tool_type, slugs in results.items():
+
+ if not isinstance(tool_type, MLToolType):
+ tool_type = MLToolType(tool_type)
+
+ for slug, pages in slugs.items():
+ tool = MLTool.get(settings.ML_CLASSIFIERS_DIR, tool_type, slug)
+ source = DataSource.from_ml_tool(tool)
+
+ for page_id, result in pages.items():
+ page = Page.objects.select_related('zone__image').get(id=page_id)
+
+ if tool.type == MLToolType.Classifier:
+ Classification.objects.bulk_create([
+ Classification(
+ page=page,
+ source=source,
+ class_name=data['label'],
+ confidence=data['probability'],
+ )
+ for data in result
+ ])
+
+ self.report_message("Saved classifications for {}".format(page))
+
+ elif tool.type == MLToolType.Recognizer:
+
+ # Parse transcription types
+ for item in result:
+ item['type'] = TranscriptionType(item['type'])
+
+ trpolygons = build_transcriptions(
+ parent=page,
+ source=source,
+ image=page.zone.image,
+ items=result,
+ )
+
+ if not trpolygons:
+ continue
+ transcriptions, _ = save_transcriptions(*trpolygons)
+ self.report_message('Saved transcriptions for {}'.format(page))
+
+ # Build the Page's Page transcription
+ text = '\n'.join(
+ t.text
+ for t in sorted(
+ page.transcriptions.filter(type=TranscriptionType.Line).prefetch_related('zone'),
+ key=lambda t: (t.zone.polygon.center.y, t.zone.polygon.center.x),
+ )
+ )
+ # Add the (page transcription ID, page ID) tuple to the transcriptions tuple
+ transcriptions += (
+ (
+ page.transcriptions.create(
+ type=TranscriptionType.Page,
+ text=text,
+ zone=page.zone,
+ source=source,
+ ).id,
+ page.id,
+ ),
+ )
+
+ index_transcriptions(transcriptions)
+ self.report_message('Indexed transcriptions for {}'.format(page))
+ else:
+ raise ValueError('Unknown ML tool type')
+
+ page_ids.add(page.id)
+
+ return list(page_ids)
@task_postrun.connect
diff --git a/arkindex/dataimport/tests/mocks/ml_results.json b/arkindex/dataimport/tests/mocks/ml_results.json
index d5c43c8f67f9fe8ead80fe964de9e2529648e405..b945131c62920ec388e2df638632cea2802c5713 100644
--- a/arkindex/dataimport/tests/mocks/ml_results.json
+++ b/arkindex/dataimport/tests/mocks/ml_results.json
@@ -1,25351 +1,25351 @@
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}
diff --git a/arkindex/dataimport/tests/mocks/tesseract/config.yml b/arkindex/dataimport/tests/mocks/tesseract/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..27a89873a0a830b9cea4c8dda9959cbb9114c979
--- /dev/null
+++ b/arkindex/dataimport/tests/mocks/tesseract/config.yml
@@ -0,0 +1,8 @@
+---
+name: Base Tesseract 4.0
+type: recognizer
+slug: tesseract
+version: 1.0
+
+# No parameters !
+tesseract: []
diff --git a/arkindex/dataimport/tests/mocks/tobacco/config.yml b/arkindex/dataimport/tests/mocks/tobacco/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..5cccdb3bb203864945c1292062c31b571f0ea7be
--- /dev/null
+++ b/arkindex/dataimport/tests/mocks/tobacco/config.yml
@@ -0,0 +1,27 @@
+---
+name: Tobaccos archives
+slug: tobacco
+version: 0.1.0
+type: classifier
+classes:
+ - letter
+ - form
+ - email
+ - handwritten
+ - advertisement
+ - scientific report
+ - scientific publication
+ - specification
+ - file folder
+ - news article
+ - budget
+ - invoice
+ - presentation
+ - questionnaire
+ - resume
+ - memo
+
+keras:
+ model: model.hdf5
+ image_width: 224
+ image_height: 224
diff --git a/arkindex/dataimport/tests/test_tasks.py b/arkindex/dataimport/tests/test_tasks.py
index 3b481bbaa3e95de5d62265694f829c79b08a8af3..07ba3934ac25ec21bfeef3151555dae84b70536b 100644
--- a/arkindex/dataimport/tests/test_tasks.py
+++ b/arkindex/dataimport/tests/test_tasks.py
@@ -21,7 +21,9 @@ class TestTasks(FixtureMixin, RedisMockAPITestCase):
"""
Test data imports tasks
"""
+
def test_save_ml_results(self):
+
dog_img = self.imgsrv.images.create(path='dog', width=100, height=100)
cat_img = self.imgsrv.images.create(path='cat', width=100, height=100)
@@ -31,65 +33,73 @@ class TestTasks(FixtureMixin, RedisMockAPITestCase):
dog = Page.objects.create(corpus=self.corpus, name='A dog', zone=dog_zone)
cat = Page.objects.create(corpus=self.corpus, name='A cat', zone=cat_zone)
- classification = {
- dog.id: {
- 'classification': [
- {
- 'label': 'dog',
- 'probability': 0.9,
- }
- ],
- 'zones': [
- {
- 'type': 'word',
- 'polygon': [[0, 0], [0, 10], [10, 10], [10, 0]],
- 'text': 'woof',
- 'score': 0.8
- }
- ],
- },
- cat.id: {
- 'classification': [
- {
- 'label': 'cat',
- 'probability': 0.8,
- }
- ],
- 'zones': [
- {
- 'type': 'line',
- 'polygon': [[0, 0], [0, 20], [20, 20], [20, 0]],
- 'text': 'meow',
- 'score': 0.9
- }
- ],
+ data = {
+ 'classifier': {
+ 'tobacco': {
+ dog.id: [
+ {
+ 'label': 'dog',
+ 'probability': 0.9,
+ },
+ ],
+ cat.id: [
+ {
+ 'label': 'cat',
+ 'probability': 0.8,
+ },
+ ]
+ },
},
+ 'recognizer': {
+ 'tesseract': {
+ dog.id: [
+ {
+ 'type': 'word',
+ 'polygon': [[0, 0], [0, 10], [10, 10], [10, 0]],
+ 'text': 'woof',
+ 'score': 0.8
+ },
+ ],
+ cat.id: [
+ {
+ 'type': 'line',
+ 'polygon': [[0, 0], [0, 20], [20, 20], [20, 0]],
+ 'text': 'meow',
+ 'score': 0.9
+ },
+ ]
+ },
+ }
}
- save_ml_results(classification)
+
+ with self.settings(ML_CLASSIFIERS_DIR=FIXTURES):
+ save_ml_results(data)
dog.refresh_from_db()
- self.assertEqual(dog.classification, [{
- 'label': 'dog',
- 'probability': 0.9,
- }])
- self.assertEqual(dog.text, '')
- dog_ts = dog.transcriptions.get()
- self.assertEqual(dog_ts.type, TranscriptionType.Word)
+ self.assertEqual(dog.classifications.count(), 1)
+ dog_cls = dog.classifications.get()
+ self.assertEqual(dog_cls.class_name, 'dog')
+ self.assertEqual(dog_cls.confidence, 0.9)
+ dog_ts = dog.transcriptions.get(type=TranscriptionType.Word)
self.assertEqual(dog_ts.text, 'woof')
self.assertEqual(dog_ts.score, 0.8)
self.assertEqual(dog_ts.zone.polygon, [(0, 0), (0, 10), (10, 10), (10, 0), (0, 0)])
+ dog_ts = dog.transcriptions.get(type=TranscriptionType.Page)
+ self.assertEqual(dog_ts.text, '')
+ self.assertEqual(dog_ts.zone.polygon, [(0, 0), (0, 100), (100, 100), (100, 0), (0, 0)])
cat.refresh_from_db()
- self.assertEqual(cat.classification, [{
- 'label': 'cat',
- 'probability': 0.8,
- }])
- self.assertEqual(cat.text, 'meow')
- cat_ts = cat.transcriptions.get()
- self.assertEqual(cat_ts.type, TranscriptionType.Line)
+ self.assertEqual(cat.classifications.count(), 1)
+ cat_cls = cat.classifications.get()
+ self.assertEqual(cat_cls.class_name, 'cat')
+ self.assertEqual(cat_cls.confidence, 0.8)
+ cat_ts = cat.transcriptions.get(type=TranscriptionType.Line)
self.assertEqual(cat_ts.text, 'meow')
self.assertEqual(cat_ts.score, 0.9)
self.assertEqual(cat_ts.zone.polygon, [(0, 0), (0, 20), (20, 20), (20, 0), (0, 0)])
+ cat_ts = cat.transcriptions.get(type=TranscriptionType.Page)
+ self.assertEqual(cat_ts.text, 'meow')
+ self.assertEqual(cat_ts.zone.polygon, [(0, 0), (0, 100), (100, 100), (100, 0), (0, 0)])
def test_command(self):
# No tasks at first
@@ -229,16 +239,19 @@ class TestTasks(FixtureMixin, RedisMockAPITestCase):
Test on a real complex case, with data crashing (initially) the save function
"""
- # Load mock results from worker-ml
+ # Load mock results from worker-ml and build images/zones/pages
path = os.path.join(FIXTURES, 'ml_results.json')
self.assertTrue(os.path.exists(path))
- results = {
- uuid.UUID(k): v
- for k, v in json.load(open(path)).items()
- }
- # Build needed page/zone/image
- for page_id in results.keys():
+ results, page_ids = {}, set()
+ for tool_type, tool_slugs in json.load(open(path)).items():
+ for tool_slug, pages in tool_slugs.items():
+ for page_id, result in pages.items():
+ results.setdefault(tool_type, {}).setdefault(tool_slug, {})[uuid.UUID(page_id)] = result
+ page_ids.add(page_id)
+
+ # Create images, zones and pages
+ for page_id in page_ids:
image = self.imgsrv.images.create(
path='/crash/{}'.format(page_id),
width=200,
@@ -261,11 +274,12 @@ class TestTasks(FixtureMixin, RedisMockAPITestCase):
# Save results in hierarchy
# Initially, that was failing with an hard Postgresql COPY error
- save_ml_results(results)
+ with self.settings(ML_CLASSIFIERS_DIR=FIXTURES):
+ save_ml_results(results)
- page_id, data = next(iter(results.items())) # Take one page
+ page_id, data = next(iter(results['recognizer']['tesseract'].items())) # Take one page
page = Page.objects.get(id=page_id)
- for ts_data in data['zones'][:5]: # Take the first five transcriptions
+ for ts_data in data[:5]: # Take the first five transcriptions
self.assertEqual(page.transcriptions.filter(
type=ts_data['type'],
text=ts_data['text'],
diff --git a/arkindex/documents/admin.py b/arkindex/documents/admin.py
index d016502169b3bb66663368673442b841fedd7ae6..45515feecb8969ea2b2ee485247cf0d1f9109eec 100644
--- a/arkindex/documents/admin.py
+++ b/arkindex/documents/admin.py
@@ -2,7 +2,8 @@ from django.contrib import admin
from django.conf.urls import url
from django.urls import reverse
from django.utils.html import format_html
-from arkindex.documents.models import Corpus, Page, Element, ElementType, Act, Transcription, MetaData
+from arkindex.documents.models import \
+ Corpus, Page, Element, ElementType, Act, Transcription, MetaData, Classification, DataSource
from arkindex.documents.views import DumpActs
from arkindex.dataimport.models import Event
from enumfields.admin import EnumFieldListFilter
@@ -12,16 +13,26 @@ class CorpusAdmin(admin.ModelAdmin):
list_display = ('id', 'name', 'public', )
+class DataSourceAdmin(admin.ModelAdmin):
+ list_display = ('id', 'type', 'slug', 'revision', 'internal')
+ list_filter = [('type', EnumFieldListFilter), 'internal']
+ readonly_fields = ('id', )
+
+
class EventInline(admin.TabularInline):
model = Event
+class ClassificationInline(admin.TabularInline):
+ model = Classification
+
+
class PageAdmin(admin.ModelAdmin):
list_display = ('id', 'name', 'page_type', 'nb', 'direction', )
- list_filter = [('page_type', EnumFieldListFilter)]
- fields = ('id', 'name', 'folio', 'page_type', 'nb', 'direction', 'classification', 'text')
+ list_filter = [('page_type', EnumFieldListFilter), 'corpus']
+ fields = ('id', 'name', 'folio', 'page_type', 'nb', 'direction')
readonly_fields = ('id', )
- inlines = (EventInline, )
+ inlines = (EventInline, ClassificationInline, )
class MetaDataInline(admin.TabularInline):
@@ -64,13 +75,14 @@ class ActAdmin(admin.ModelAdmin):
class TranscriptionAdmin(admin.ModelAdmin):
list_display = ('id', 'text', 'score', 'element', )
- list_filter = [('type', EnumFieldListFilter), ]
- fields = ('id', 'text', 'score', 'element', 'zone', )
+ list_filter = [('type', EnumFieldListFilter), ('source', EnumFieldListFilter)]
+ fields = ('id', 'text', 'score', 'element', 'zone', 'source', )
readonly_fields = ('id', )
raw_id_fields = ('element', 'zone', )
admin.site.register(Corpus, CorpusAdmin)
+admin.site.register(DataSource, DataSourceAdmin)
admin.site.register(Page, PageAdmin)
admin.site.register(Element, ElementAdmin)
admin.site.register(Act, ActAdmin)
diff --git a/arkindex/documents/api/transcriptions.py b/arkindex/documents/api/transcriptions.py
index 34a84f6d0c084099ce482fd54d1ed1885118111d..e5cf52ff33900efdb4d8e195874263af572b1b09 100644
--- a/arkindex/documents/api/transcriptions.py
+++ b/arkindex/documents/api/transcriptions.py
@@ -23,10 +23,12 @@ class TranscriptionBulk(CreateAPIView):
def perform_create(self, serializer):
parent = serializer.validated_data['parent']
+ source = serializer.validated_data['source']
image = serializer.validated_data['image']
trpolygons = build_transcriptions(
image=image,
parent=parent,
+ source=source,
items=[
{
'polygon': tr['polygon'],
@@ -69,6 +71,7 @@ class TranscriptionCreate(CreateAPIView):
ts, created = Transcription.objects.get_or_create(
element=element,
+ source=serializer.validated_data['source'],
type=transcription_type,
zone=ts_zone,
text=serializer.validated_data['text'],
diff --git a/arkindex/documents/fixtures/data.json b/arkindex/documents/fixtures/data.json
index 7a5810a7ca6c78bc740d7890ff296bc9efb2a51c..053844e15b9bccaf2329681cf338b0d9a4f55fc8 100644
--- a/arkindex/documents/fixtures/data.json
+++ b/arkindex/documents/fixtures/data.json
@@ -1,22 +1,22 @@
[
{
"model": "dataimport.repository",
- "pk": "739fcb34-e4d4-4365-a810-8801623dadbd",
+ "pk": "f583934a-e0d4-4892-ba00-938f1561c4e3",
"fields": {
"url": "http://gitlab/repo",
"hook_token": "hook-token",
- "corpus": "a0bea527-6005-4c43-a21d-8c137c7e1d2d",
- "credentials": "675eaaa8-3152-4fe5-a891-fee8f9fbd56c",
+ "corpus": "18a7c751-c6f3-4868-a091-5fba65a40ab2",
+ "credentials": "d7d2a36a-a87a-4180-8bf2-c827f01828b2",
"provider_name": "GitLabProvider"
}
},
{
"model": "dataimport.revision",
- "pk": "7b5f7f19-0439-445c-b38b-3a4425aab113",
+ "pk": "98f3623a-dc77-42ce-92ae-670f3f9348f3",
"fields": {
- "created": "2018-11-26T11:00:55.886Z",
- "updated": "2018-11-26T11:00:55.886Z",
- "repo": "739fcb34-e4d4-4365-a810-8801623dadbd",
+ "created": "2018-12-13T13:12:06.140Z",
+ "updated": "2018-12-13T13:12:06.140Z",
+ "repo": "f583934a-e0d4-4892-ba00-938f1561c4e3",
"hash": "42",
"ref": "refs/heads/master",
"message": "a",
@@ -25,452 +25,450 @@
},
{
"model": "documents.corpus",
- "pk": "2b83fd3f-38bd-8fea-a8fe-dcefe907352f",
+ "pk": "18a7c751-c6f3-4868-a091-5fba65a40ab2",
"fields": {
- "name": "Himanis",
+ "name": "Unit Tests",
"description": "",
- "public": false
+ "public": true
}
},
{
"model": "documents.corpus",
- "pk": "a0bea527-6005-4c43-a21d-8c137c7e1d2d",
+ "pk": "2b83fd3f-38bd-8fea-a8fe-dcefe907352f",
"fields": {
- "name": "Unit Tests",
+ "name": "Himanis",
"description": "",
- "public": true
+ "public": false
}
},
{
"model": "documents.elementpath",
- "pk": "0171a30a-65b2-4c79-adcd-a8a4ffd5f2bd",
+ "pk": "363166b6-b8c6-4925-8478-3fd9e0d632da",
"fields": {
- "element": "63852eb7-cd26-4835-9465-1d555006dfee",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
+ "element": "9414a28b-3dec-496f-9cd6-7ba192de6d41",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\", \"228fbfbb-0229-472f-a768-1c84f1fcea84\"]",
"ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "083a749f-3fd3-45f4-9b79-49cec7f15dde",
+ "pk": "3c095189-9b83-4bb1-bf6b-ae89c8c2ab65",
"fields": {
- "element": "c567a20d-5758-41d5-ad02-5c7224e3eaf1",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
- "ordering": 4
+ "element": "f7370aea-b745-42c0-8ba9-01dbd341aa65",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\", \"79605cde-4454-48f1-b8dd-2e417c5b7c71\"]",
+ "ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "1940afd3-efd7-4a6e-bae8-9f56280f72f1",
+ "pk": "4b745347-6948-47a6-b60f-cd75671a69bd",
"fields": {
- "element": "edc36b74-42b8-4ecf-8f8d-979a8d801fb8",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
- "ordering": 1
+ "element": "88c93c74-72bc-4bfe-8a03-fa90dc55026b",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\", \"e1e835db-ebf0-425b-b49b-230f47969d82\"]",
+ "ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "215af930-dc55-4091-9bf9-5a3291f05d94",
+ "pk": "54371686-780d-40b3-81c2-210eaf9570c4",
"fields": {
- "element": "e8750ede-fda5-4851-9100-0108efd23d84",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\", \"edc36b74-42b8-4ecf-8f8d-979a8d801fb8\"]",
+ "element": "228fbfbb-0229-472f-a768-1c84f1fcea84",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
"ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "493a65a8-b69a-45e6-97fe-29fefa6fba2a",
+ "pk": "5a43bf99-a028-48e0-9148-6cb7480bea50",
"fields": {
- "element": "da27cf43-c693-47e4-890d-7126c5374228",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\", \"f504186e-2752-4bce-a920-02f627f114e5\"]",
- "ordering": 0
+ "element": "79605cde-4454-48f1-b8dd-2e417c5b7c71",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
+ "ordering": 3
}
},
{
"model": "documents.elementpath",
- "pk": "49b27e0e-d317-481e-a35e-766404501d8f",
+ "pk": "5b045828-8f73-4f2a-a9ae-a74a31fcfe30",
"fields": {
- "element": "a057ed59-b585-483c-825d-90a49a7ef3ce",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\", \"d475e405-af95-4d65-9bbe-a703b405bc5a\"]",
- "ordering": 0
+ "element": "749315d5-dcdc-4573-a59b-f86fac963e8d",
+ "path": "[\"1d187b11-5235-4b6b-a78d-d24d2cfd4993\", \"fd9af487-f1d7-467a-8e58-d13ac06a7a9c\"]",
+ "ordering": 2
}
},
{
"model": "documents.elementpath",
- "pk": "55427b5c-176e-4f2e-8732-b9e7be8c346b",
+ "pk": "66297f35-484f-4760-95df-f37be25c84df",
"fields": {
- "element": "37778940-4f3e-4505-b4f7-64f7ba648e93",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\", \"edc36b74-42b8-4ecf-8f8d-979a8d801fb8\"]",
- "ordering": 1
+ "element": "e1e835db-ebf0-425b-b49b-230f47969d82",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
+ "ordering": 4
}
},
{
"model": "documents.elementpath",
- "pk": "6ea9d923-c886-4c0c-b558-a8c0d189da81",
+ "pk": "6829616b-4241-44f1-a96f-9da27c140e4b",
"fields": {
- "element": "9ab4446a-770d-4cea-a745-72092eeea419",
- "path": "[\"102c0ee1-ec85-43d4-97eb-eecdb238948b\"]",
+ "element": "c0e82474-21bd-4c05-8dbc-83792d0d8b22",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\"]",
"ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "74596e98-6b2d-41c8-8c74-4c4e515718f9",
+ "pk": "70ac56fd-462f-45aa-ac05-fda27518f2bb",
"fields": {
- "element": "87bacf31-eb2a-44af-bd03-7e7d2fdbd4f9",
- "path": "[\"102c0ee1-ec85-43d4-97eb-eecdb238948b\", \"9ab4446a-770d-4cea-a745-72092eeea419\"]",
+ "element": "496ce918-8d0f-40b7-8c94-f008187005e3",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\", \"97b1945e-ec0d-4e79-830c-13c2a47fb6b3\"]",
"ordering": 1
}
},
{
"model": "documents.elementpath",
- "pk": "7e09b3dc-2c22-43d0-89f6-b7d630d8ea4a",
+ "pk": "89152fa7-7194-4013-a607-a01b8f35631e",
"fields": {
- "element": "7455bacc-70c5-47f3-97d1-881e1ea4b8a1",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
+ "element": "54f9cbfd-4827-42e2-9e85-7993bb4c3394",
+ "path": "[\"1d187b11-5235-4b6b-a78d-d24d2cfd4993\", \"fd9af487-f1d7-467a-8e58-d13ac06a7a9c\"]",
"ordering": 1
}
},
{
"model": "documents.elementpath",
- "pk": "7f6b6c3f-9a75-4638-ad6d-1b30c192c833",
+ "pk": "940fd926-e15b-4af7-97bc-8bd35f4ffd15",
"fields": {
- "element": "4d3c447e-59ec-4fb9-92be-b85fde751c2a",
- "path": "[\"102c0ee1-ec85-43d4-97eb-eecdb238948b\", \"9ab4446a-770d-4cea-a745-72092eeea419\"]",
- "ordering": 2
+ "element": "97b1945e-ec0d-4e79-830c-13c2a47fb6b3",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
+ "ordering": 1
}
},
{
"model": "documents.elementpath",
- "pk": "9f47be97-9f20-4400-90ae-f02c450affb4",
+ "pk": "9a8639c4-dc76-4e21-817d-0ba16a9233cc",
"fields": {
- "element": "f504186e-2752-4bce-a920-02f627f114e5",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
- "ordering": 3
+ "element": "3b845ff7-2e8d-4474-bc31-fb3d88aef2e3",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
+ "ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "a9e2a0e6-c5c7-4790-bfe8-439d74b5e152",
+ "pk": "ad9c0cda-e8e6-44e3-8259-beac226ec785",
"fields": {
- "element": "611ef649-4071-40f7-af8e-d494df4042ff",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
+ "element": "9f2ed948-0bfd-4f45-ba33-8047b44b7f0f",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
"ordering": 2
}
},
{
"model": "documents.elementpath",
- "pk": "b9ce0dec-af1b-46c1-826b-2a773ba23f5c",
+ "pk": "b98b1065-01e7-4294-91ad-0f8b14e1b17f",
"fields": {
- "element": "01872d5e-f65d-4cc6-b5de-ae21511b4491",
- "path": "[\"102c0ee1-ec85-43d4-97eb-eecdb238948b\", \"9ab4446a-770d-4cea-a745-72092eeea419\"]",
+ "element": "dcf882af-993a-4582-adfc-6109996a7dda",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\", \"908c9195-dd36-4cd2-922b-ca3739d6c1ac\"]",
"ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "baf01f87-c6a1-4a5b-b99f-cbcb50ddc892",
+ "pk": "c4cb4d0b-d439-495b-a566-c8f7a4a23184",
"fields": {
- "element": "d475e405-af95-4d65-9bbe-a703b405bc5a",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
- "ordering": 0
+ "element": "908c9195-dd36-4cd2-922b-ca3739d6c1ac",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
+ "ordering": 2
}
},
{
"model": "documents.elementpath",
- "pk": "bbf89d24-bcc0-4c7a-b0e9-39cee149c81b",
+ "pk": "e0be4a1f-0c1e-4182-9f55-13120e4b0a78",
"fields": {
- "element": "ef909167-1309-471c-b386-dfcf294e2994",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\"]",
+ "element": "fbb25189-30f2-465d-be6a-fd5205baecdc",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\", \"97b1945e-ec0d-4e79-830c-13c2a47fb6b3\"]",
"ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "d3673c22-cd00-4d0b-8029-be57becab5c7",
+ "pk": "e791628d-8940-470e-ae6c-8ae0a51fda8f",
"fields": {
- "element": "16b29884-0d89-42db-909d-90ce722a7289",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\", \"c567a20d-5758-41d5-ad02-5c7224e3eaf1\"]",
- "ordering": 0
+ "element": "9e0562ac-e8da-46a9-9a47-db682e2804e0",
+ "path": "[\"208ce1b2-5066-4305-8fae-2281426e6e7a\", \"c0e82474-21bd-4c05-8dbc-83792d0d8b22\"]",
+ "ordering": 1
}
},
{
"model": "documents.elementpath",
- "pk": "d4fb3fb4-e6cd-4c29-bda1-4b7e9b0b6e86",
+ "pk": "f66c0999-b7ac-4c92-a42d-9f4665e91c86",
"fields": {
- "element": "de978f5d-fa8e-4432-986c-a449366b2c00",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\", \"f00dd856-fa05-4ba9-9fe8-fb52db0b8948\"]",
+ "element": "aeed628d-e046-4f73-b237-fe5192a168b5",
+ "path": "[\"1d187b11-5235-4b6b-a78d-d24d2cfd4993\", \"fd9af487-f1d7-467a-8e58-d13ac06a7a9c\"]",
"ordering": 0
}
},
{
"model": "documents.elementpath",
- "pk": "eb80d007-0db2-48cc-8c70-6fc847bd5760",
+ "pk": "fd0a748f-b16f-4516-8d80-1d2a8311776e",
"fields": {
- "element": "f00dd856-fa05-4ba9-9fe8-fb52db0b8948",
- "path": "[\"f472023b-e1dd-4e95-8bcf-e04be448b7e4\", \"ef909167-1309-471c-b386-dfcf294e2994\"]",
- "ordering": 2
+ "element": "fd9af487-f1d7-467a-8e58-d13ac06a7a9c",
+ "path": "[\"1d187b11-5235-4b6b-a78d-d24d2cfd4993\"]",
+ "ordering": 0
}
},
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+ "corpus": "18a7c751-c6f3-4868-a091-5fba65a40ab2",
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{
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}
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{
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- "pk": "f504186e-2752-4bce-a920-02f627f114e5",
+ "pk": "fd9af487-f1d7-467a-8e58-d13ac06a7a9c",
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+ "created": "2018-12-13T13:12:05.862Z",
+ "updated": "2018-12-13T13:12:05.862Z",
+ "corpus": "18a7c751-c6f3-4868-a091-5fba65a40ab2",
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@@ -479,24 +477,20 @@
},
{
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+ "pk": "54f9cbfd-4827-42e2-9e85-7993bb4c3394",
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+ "folio": "1v",
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@@ -505,62 +499,64 @@
},
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+ "pk": "aeed628d-e046-4f73-b237-fe5192a168b5",
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+ "folio": "1r",
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},
{
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+ "pk": "228fbfbb-0229-472f-a768-1c84f1fcea84",
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+ "number": "1",
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+ }
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{
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- "pk": "edc36b74-42b8-4ecf-8f8d-979a8d801fb8",
+ "pk": "97b1945e-ec0d-4e79-830c-13c2a47fb6b3",
"fields": {
"number": "2",
"folio": "1r-1v"
@@ -568,115 +564,146 @@
},
{
"model": "documents.act",
- "pk": "f00dd856-fa05-4ba9-9fe8-fb52db0b8948",
+ "pk": "e1e835db-ebf0-425b-b49b-230f47969d82",
"fields": {
- "number": "3",
+ "number": "5",
"folio": "2r"
}
},
{
- "model": "documents.act",
- "pk": "f504186e-2752-4bce-a920-02f627f114e5",
+ "model": "documents.datasource",
+ "pk": "269ade65-42b9-48fa-a0c4-eb1885007b15",
"fields": {
- "number": "4",
- "folio": "2r"
+ "type": "classifier",
+ "slug": "tobacco",
+ "revision": "c0ffee",
+ "internal": true
+ }
+},
+{
+ "model": "documents.datasource",
+ "pk": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "fields": {
+ "type": "recognizer",
+ "slug": "test",
+ "revision": "4.2",
+ "internal": false
+ }
+},
+{
+ "model": "documents.datasource",
+ "pk": "b51466cc-1965-4934-aaa1-4ef819f24553",
+ "fields": {
+ "type": "recognizer",
+ "slug": "valencia",
+ "revision": "2017",
+ "internal": false
}
},
{
"model": "documents.transcription",
- "pk": "37c45fbb-fb6c-4c80-8529-72d2c237f029",
+ "pk": "13b675ba-5147-4000-9de2-a951684048da",
"fields": {
- "element": "611ef649-4071-40f7-af8e-d494df4042ff",
+ "element": "3b845ff7-2e8d-4474-bc31-fb3d88aef2e3",
"type": "word",
- "zone": "e155400f-c67f-4594-bc0f-75140ba509ed",
- "text": "PARIS",
+ "zone": "27b8f808-b6c2-4197-a6bb-1811fb2f8aff",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "text": "ROY",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "412ee23c-b7f3-439c-b0d6-8f702c69f764",
+ "pk": "29aa144f-96e4-4293-967d-3d2e9ab06f25",
"fields": {
- "element": "63852eb7-cd26-4835-9465-1d555006dfee",
+ "element": "9f2ed948-0bfd-4f45-ba33-8047b44b7f0f",
"type": "word",
- "zone": "326aa134-3fce-4e7c-a506-d8b271007f5d",
+ "zone": "95c89824-c067-4cba-a0e4-d29c2058fda0",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
"text": "PARIS",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "5db11a8f-3a3f-464c-a8dc-0cb1bccc255e",
+ "pk": "6033a5d8-b013-47af-8ce9-8a02415d9820",
"fields": {
- "element": "7455bacc-70c5-47f3-97d1-881e1ea4b8a1",
+ "element": "3b845ff7-2e8d-4474-bc31-fb3d88aef2e3",
"type": "word",
- "zone": "41c2d968-248c-4391-b5bf-558d218ed97b",
- "text": "ROY",
+ "zone": "f73e0a22-af4d-4c31-9ac9-20a63a086523",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "text": "PARIS",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "9bd8097b-08d0-4e89-b881-2bf5719df156",
+ "pk": "68b2e590-0e55-47d5-ba32-a68482624aca",
"fields": {
- "element": "611ef649-4071-40f7-af8e-d494df4042ff",
+ "element": "9e0562ac-e8da-46a9-9a47-db682e2804e0",
"type": "word",
- "zone": "fb9bb707-0186-44b8-92a3-f61be201396b",
- "text": "ROY",
+ "zone": "fae811b1-c3b5-4fe7-9e32-77c226059c0f",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "text": "DATUM",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "c031f568-934d-4b66-b036-61b02171d189",
+ "pk": "7a76fc96-ef60-490a-bfd3-bbd325260415",
"fields": {
- "element": "7455bacc-70c5-47f3-97d1-881e1ea4b8a1",
+ "element": "9f2ed948-0bfd-4f45-ba33-8047b44b7f0f",
"type": "word",
- "zone": "f4562b07-8590-49f2-b353-79f56e0a3e13",
- "text": "DATUM",
+ "zone": "b10b244c-8566-453e-9a06-aca7fd31658a",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "text": "ROY",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "c2fba66e-b4cc-429d-843f-2358e8897c01",
+ "pk": "7fdfd5d8-8cbe-464a-a9e4-96e87ef4939e",
"fields": {
- "element": "7455bacc-70c5-47f3-97d1-881e1ea4b8a1",
+ "element": "3b845ff7-2e8d-4474-bc31-fb3d88aef2e3",
"type": "word",
- "zone": "02c9782c-b40e-4de0-b11d-303c74abab64",
- "text": "PARIS",
+ "zone": "29d979c2-4cae-4f2b-bb00-5f7d1beacd10",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "text": "DATUM",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "d5efe85c-b4f4-4991-a93e-e8afe3ca302b",
+ "pk": "9de2cccc-3848-457f-ae22-748f567177f0",
"fields": {
- "element": "63852eb7-cd26-4835-9465-1d555006dfee",
+ "element": "9e0562ac-e8da-46a9-9a47-db682e2804e0",
"type": "word",
- "zone": "bec25d74-44c0-4cee-bc4c-f7efaa5d9b06",
- "text": "DATUM",
+ "zone": "12dd1879-9224-4000-bd82-16c8d98dfb8e",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
+ "text": "PARIS",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "da4f4383-b03c-469a-9258-1d5d36a44d30",
+ "pk": "b6a01665-9e00-473b-b728-7bd934bf2f22",
"fields": {
- "element": "63852eb7-cd26-4835-9465-1d555006dfee",
+ "element": "9e0562ac-e8da-46a9-9a47-db682e2804e0",
"type": "word",
- "zone": "98e1dda2-74f4-41e2-bf5f-945800af93e4",
+ "zone": "8387d011-904b-4881-95c6-d4a11f9ab381",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
"text": "ROY",
"score": 1.0
}
},
{
"model": "documents.transcription",
- "pk": "e9506592-8fb5-4ed8-89cc-905b7c24633b",
+ "pk": "ceff5a54-7a12-40cb-8eec-b0aa87176d77",
"fields": {
- "element": "611ef649-4071-40f7-af8e-d494df4042ff",
+ "element": "9f2ed948-0bfd-4f45-ba33-8047b44b7f0f",
"type": "word",
- "zone": "4c526ba9-8777-459e-86b8-c7c75fb96adb",
+ "zone": "d3d32855-8ab9-400f-bb8d-860c834dd055",
+ "source": "3ea7ba60-5809-485a-aa47-e40eb9ed5445",
"text": "DATUM",
"score": 1.0
}
@@ -687,18 +714,18 @@
"fields": {
"name": "Test Server",
"url": "http://server",
- "created": "2018-11-26T11:00:55.299Z",
- "updated": "2018-11-26T11:00:55.299Z"
+ "created": "2018-12-13T13:12:05.517Z",
+ "updated": "2018-12-13T13:12:05.517Z"
}
},
{
"model": "images.image",
- "pk": "09d5b990-8f87-4acc-bf5f-f27c20758e25",
+ "pk": "08bc1f8d-b1fd-44ee-8c74-67eb2430a99b",
"fields": {
- "created": "2018-11-26T11:00:55.308Z",
- "updated": "2018-11-26T11:00:55.308Z",
+ "created": "2018-12-13T13:12:05.528Z",
+ "updated": "2018-12-13T13:12:05.528Z",
"server": 1,
- "path": "img2",
+ "path": "img6",
"width": 1000,
"height": 1000,
"status": "unchecked"
@@ -706,12 +733,12 @@
},
{
"model": "images.image",
- "pk": "0c2e4470-f214-4c65-b6ee-65e14e1c6d7b",
+ "pk": "31035ebe-74fc-46bf-b4be-fda720b52e92",
"fields": {
- "created": "2018-11-26T11:00:55.311Z",
- "updated": "2018-11-26T11:00:55.311Z",
+ "created": "2018-12-13T13:12:05.520Z",
+ "updated": "2018-12-13T13:12:05.520Z",
"server": 1,
- "path": "img3",
+ "path": "img1",
"width": 1000,
"height": 1000,
"status": "unchecked"
@@ -719,12 +746,12 @@
},
{
"model": "images.image",
- "pk": "0d1cd42e-9a84-4890-ad1e-bff2ced9bbda",
+ "pk": "43fe4da8-3c92-45b0-bab2-771a1c8dd79d",
"fields": {
- "created": "2018-11-26T11:00:55.318Z",
- "updated": "2018-11-26T11:00:55.318Z",
+ "created": "2018-12-13T13:12:05.525Z",
+ "updated": "2018-12-13T13:12:05.525Z",
"server": 1,
- "path": "img5",
+ "path": "img4",
"width": 1000,
"height": 1000,
"status": "unchecked"
@@ -732,12 +759,12 @@
},
{
"model": "images.image",
- "pk": "52c95086-bf90-4899-972b-f220d183e887",
+ "pk": "55ed7aee-5be5-429c-90d9-588bfa773204",
"fields": {
- "created": "2018-11-26T11:00:55.313Z",
- "updated": "2018-11-26T11:00:55.313Z",
+ "created": "2018-12-13T13:12:05.527Z",
+ "updated": "2018-12-13T13:12:05.527Z",
"server": 1,
- "path": "img4",
+ "path": "img5",
"width": 1000,
"height": 1000,
"status": "unchecked"
@@ -745,12 +772,12 @@
},
{
"model": "images.image",
- "pk": "bb3dce0e-bce1-4abe-b5d7-a9130eb6751b",
+ "pk": "b8770987-4813-4379-b2db-029bea0615ff",
"fields": {
- "created": "2018-11-26T11:00:55.319Z",
- "updated": "2018-11-26T11:00:55.319Z",
+ "created": "2018-12-13T13:12:05.523Z",
+ "updated": "2018-12-13T13:12:05.523Z",
"server": 1,
- "path": "img6",
+ "path": "img2",
"width": 1000,
"height": 1000,
"status": "unchecked"
@@ -758,12 +785,12 @@
},
{
"model": "images.image",
- "pk": "c50a04e4-508c-467c-914e-10dafb356d55",
+ "pk": "e9912e58-aaf8-4a0a-abbe-a34f61f0e640",
"fields": {
- "created": "2018-11-26T11:00:55.303Z",
- "updated": "2018-11-26T11:00:55.303Z",
+ "created": "2018-12-13T13:12:05.524Z",
+ "updated": "2018-12-13T13:12:05.524Z",
"server": 1,
- "path": "img1",
+ "path": "img3",
"width": 1000,
"height": 1000,
"status": "unchecked"
@@ -771,219 +798,219 @@
},
{
"model": "images.zone",
- "pk": "003cabfd-45ee-4c67-bcaa-954938933370",
+ "pk": "12dd1879-9224-4000-bd82-16c8d98dfb8e",
"fields": {
- "created": "2018-11-26T11:00:55.326Z",
- "updated": "2018-11-26T11:00:55.326Z",
- "image": "c50a04e4-508c-467c-914e-10dafb356d55",
- "polygon": "Polygon((0,0), (1000,0), (1000,1000), (0,1000), (0,0))"
+ "created": "2018-12-13T13:12:05.991Z",
+ "updated": "2018-12-13T13:12:05.991Z",
+ "image": "b8770987-4813-4379-b2db-029bea0615ff",
+ "polygon": "Polygon((100,100), (200,100), (200,200), (100,200), (100,100))"
}
},
{
"model": "images.zone",
- "pk": "02c9782c-b40e-4de0-b11d-303c74abab64",
+ "pk": "27b8f808-b6c2-4197-a6bb-1811fb2f8aff",
"fields": {
- "created": "2018-11-26T11:00:55.740Z",
- "updated": "2018-11-26T11:00:55.741Z",
- "image": "09d5b990-8f87-4acc-bf5f-f27c20758e25",
- "polygon": "Polygon((100,100), (200,100), (200,200), (100,200), (100,100))"
+ "created": "2018-12-13T13:12:05.986Z",
+ "updated": "2018-12-13T13:12:05.986Z",
+ "image": "31035ebe-74fc-46bf-b4be-fda720b52e92",
+ "polygon": "Polygon((400,400), (500,400), (500,500), (400,500), (400,400))"
}
},
{
"model": "images.zone",
- "pk": "2c1f66e5-e043-4a92-96ce-ae271bf03f0f",
+ "pk": "29d979c2-4cae-4f2b-bb00-5f7d1beacd10",
"fields": {
- "created": "2018-11-26T11:00:55.329Z",
- "updated": "2018-11-26T11:00:55.329Z",
- "image": "09d5b990-8f87-4acc-bf5f-f27c20758e25",
- "polygon": "Polygon((0,0), (1000,0), (1000,1000), (0,1000), (0,0))"
+ "created": "2018-12-13T13:12:05.988Z",
+ "updated": "2018-12-13T13:12:05.988Z",
+ "image": "31035ebe-74fc-46bf-b4be-fda720b52e92",
+ "polygon": "Polygon((700,700), (800,700), (800,800), (700,800), (700,700))"
}
},
{
"model": "images.zone",
- "pk": "30cb5867-260e-4ff2-82ca-0a0093486304",
+ "pk": "319f9924-b6ac-442b-b7c3-ecea68b16b76",
"fields": {
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- "updated": "2018-11-26T11:00:55.828Z",
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- "polygon": "Polygon((600,600), (1000,600), (1000,1000), (600,1000), (600,600))"
+ "created": "2018-12-13T13:12:05.535Z",
+ "updated": "2018-12-13T13:12:05.535Z",
+ "image": "43fe4da8-3c92-45b0-bab2-771a1c8dd79d",
+ "polygon": "Polygon((0,0), (1000,0), (1000,1000), (0,1000), (0,0))"
}
},
{
"model": "images.zone",
- "pk": "326aa134-3fce-4e7c-a506-d8b271007f5d",
+ "pk": "3d31945a-af6e-4328-acfc-0fa9e67a3f45",
"fields": {
- "created": "2018-11-26T11:00:55.732Z",
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- "polygon": "Polygon((100,100), (200,100), (200,200), (100,200), (100,100))"
+ "created": "2018-12-13T13:12:06.073Z",
+ "updated": "2018-12-13T13:12:06.073Z",
+ "image": "e9912e58-aaf8-4a0a-abbe-a34f61f0e640",
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},
{
"model": "images.zone",
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+ "pk": "3f80f94a-2896-4c9e-a916-79bbe4bf4fb2",
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+ "created": "2018-12-13T13:12:06.075Z",
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{
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- "created": "2018-11-26T11:00:55.736Z",
- "updated": "2018-11-26T11:00:55.736Z",
- "image": "c50a04e4-508c-467c-914e-10dafb356d55",
- "polygon": "Polygon((400,400), (500,400), (500,500), (400,500), (400,400))"
+ "created": "2018-12-13T13:12:06.068Z",
+ "updated": "2018-12-13T13:12:06.068Z",
+ "image": "31035ebe-74fc-46bf-b4be-fda720b52e92",
+ "polygon": "Polygon((600,600), (1000,600), (1000,1000), (600,1000), (600,600))"
}
},
{
"model": "images.zone",
- "pk": "9b81dc02-3b88-4405-b341-be1b259b8a26",
+ "pk": "95c89824-c067-4cba-a0e4-d29c2058fda0",
"fields": {
- "created": "2018-11-26T11:00:55.823Z",
- "updated": "2018-11-26T11:00:55.823Z",
- "image": "0c2e4470-f214-4c65-b6ee-65e14e1c6d7b",
- "polygon": "Polygon((0,0), (300,0), (300,300), (0,300), (0,0))"
+ "created": "2018-12-13T13:12:06.000Z",
+ "updated": "2018-12-13T13:12:06.000Z",
+ "image": "e9912e58-aaf8-4a0a-abbe-a34f61f0e640",
+ "polygon": "Polygon((100,100), (200,100), (200,200), (100,200), (100,100))"
}
},
{
"model": "images.zone",
- "pk": "a66a97e3-2cde-4ca3-9611-468fec642acd",
+ "pk": "b10b244c-8566-453e-9a06-aca7fd31658a",
"fields": {
- "created": "2018-11-26T11:00:55.820Z",
- "updated": "2018-11-26T11:00:55.820Z",
- "image": "09d5b990-8f87-4acc-bf5f-f27c20758e25",
- "polygon": "Polygon((0,0), (1000,0), (1000,1000), (0,1000), (0,0))"
+ "created": "2018-12-13T13:12:06.003Z",
+ "updated": "2018-12-13T13:12:06.003Z",
+ "image": "e9912e58-aaf8-4a0a-abbe-a34f61f0e640",
+ "polygon": "Polygon((400,400), (500,400), (500,500), (400,500), (400,400))"
}
},
{
"model": "images.zone",
- "pk": "bec25d74-44c0-4cee-bc4c-f7efaa5d9b06",
+ "pk": "c5ec35a7-6780-4feb-8207-1299288a491c",
"fields": {
- "created": "2018-11-26T11:00:55.738Z",
- "updated": "2018-11-26T11:00:55.738Z",
- "image": "c50a04e4-508c-467c-914e-10dafb356d55",
- "polygon": "Polygon((700,700), (800,700), (800,800), (700,800), (700,700))"
+ "created": "2018-12-13T13:12:06.065Z",
+ "updated": "2018-12-13T13:12:06.065Z",
+ "image": "31035ebe-74fc-46bf-b4be-fda720b52e92",
+ "polygon": "Polygon((0,0), (600,0), (600,600), (0,600), (0,0))"
}
},
{
"model": "images.zone",
- "pk": "e155400f-c67f-4594-bc0f-75140ba509ed",
+ "pk": "c91f6381-e8a7-4eb7-9e8b-5c7ffc0ad13e",
"fields": {
- "created": "2018-11-26T11:00:55.748Z",
- "updated": "2018-11-26T11:00:55.748Z",
- "image": "0c2e4470-f214-4c65-b6ee-65e14e1c6d7b",
- "polygon": "Polygon((100,100), (200,100), (200,200), (100,200), (100,100))"
+ "created": "2018-12-13T13:12:06.078Z",
+ "updated": "2018-12-13T13:12:06.078Z",
+ "image": "e9912e58-aaf8-4a0a-abbe-a34f61f0e640",
+ "polygon": "Polygon((600,600), (1000,600), (1000,1000), (600,1000), (600,600))"
}
},
{
"model": "images.zone",
- "pk": "e87f81eb-1005-40f8-9218-666747858eda",
+ "pk": "d0fba2e6-990c-40dc-a8d6-9f7a9a10fe91",
"fields": {
- "created": "2018-11-26T11:00:55.825Z",
- "updated": "2018-11-26T11:00:55.825Z",
- "image": "0c2e4470-f214-4c65-b6ee-65e14e1c6d7b",
- "polygon": "Polygon((300,300), (600,300), (600,600), (300,600), (300,300))"
+ "created": "2018-12-13T13:12:05.537Z",
+ "updated": "2018-12-13T13:12:05.537Z",
+ "image": "08bc1f8d-b1fd-44ee-8c74-67eb2430a99b",
+ "polygon": "Polygon((0,0), (1000,0), (1000,1000), (0,1000), (0,0))"
}
},
{
"model": "images.zone",
- "pk": "f4562b07-8590-49f2-b353-79f56e0a3e13",
+ "pk": "d3d32855-8ab9-400f-bb8d-860c834dd055",
"fields": {
- "created": "2018-11-26T11:00:55.746Z",
- "updated": "2018-11-26T11:00:55.746Z",
- "image": "09d5b990-8f87-4acc-bf5f-f27c20758e25",
+ "created": "2018-12-13T13:12:06.006Z",
+ "updated": "2018-12-13T13:12:06.006Z",
+ "image": "e9912e58-aaf8-4a0a-abbe-a34f61f0e640",
"polygon": "Polygon((700,700), (800,700), (800,800), (700,800), (700,700))"
}
},
{
"model": "images.zone",
- "pk": "f8b4f99a-58de-4cf8-90f7-3311cb3c1a64",
+ "pk": "f73e0a22-af4d-4c31-9ac9-20a63a086523",
"fields": {
- "created": "2018-11-26T11:00:55.815Z",
- "updated": "2018-11-26T11:00:55.815Z",
- "image": "c50a04e4-508c-467c-914e-10dafb356d55",
- "polygon": "Polygon((0,0), (600,0), (600,600), (0,600), (0,0))"
+ "created": "2018-12-13T13:12:05.981Z",
+ "updated": "2018-12-13T13:12:05.981Z",
+ "image": "31035ebe-74fc-46bf-b4be-fda720b52e92",
+ "polygon": "Polygon((100,100), (200,100), (200,200), (100,200), (100,100))"
}
},
{
"model": "images.zone",
- "pk": "fb9bb707-0186-44b8-92a3-f61be201396b",
+ "pk": "f9fd18ea-3ba4-43b6-b077-aaaa5cd1ac18",
"fields": {
- "created": "2018-11-26T11:00:55.751Z",
- "updated": "2018-11-26T11:00:55.751Z",
- "image": "0c2e4470-f214-4c65-b6ee-65e14e1c6d7b",
- "polygon": "Polygon((400,400), (500,400), (500,500), (400,500), (400,400))"
+ "created": "2018-12-13T13:12:05.532Z",
+ "updated": "2018-12-13T13:12:05.532Z",
+ "image": "b8770987-4813-4379-b2db-029bea0615ff",
+ "polygon": "Polygon((0,0), (1000,0), (1000,1000), (0,1000), (0,0))"
}
},
{
"model": "images.zone",
- "pk": "fef19cff-bd3a-4100-b101-4383bdebfc2d",
+ "pk": "fae811b1-c3b5-4fe7-9e32-77c226059c0f",
"fields": {
- "created": "2018-11-26T11:00:55.818Z",
- "updated": "2018-11-26T11:00:55.818Z",
- "image": "c50a04e4-508c-467c-914e-10dafb356d55",
- "polygon": "Polygon((600,600), (1000,600), (1000,1000), (600,1000), (600,600))"
+ "created": "2018-12-13T13:12:05.997Z",
+ "updated": "2018-12-13T13:12:05.997Z",
+ "image": "b8770987-4813-4379-b2db-029bea0615ff",
+ "polygon": "Polygon((700,700), (800,700), (800,800), (700,800), (700,700))"
}
},
{
"model": "users.user",
"pk": 1,
"fields": {
- "password": "pbkdf2_sha256$120000$diXuSRTkqyMv$s7EQzaDde+qg4VFaPlFjR355ih7dJ2PFh1LruHrp2Ms=",
+ "password": "pbkdf2_sha256$120000$4CUuganwmwOr$EEkgtbT3fBNHIWstzwMmX5Knf5F4dd20b2A6XlZMD20=",
"last_login": null,
"email": "root@root.fr",
"is_active": true,
@@ -996,7 +1023,7 @@
"model": "users.user",
"pk": 2,
"fields": {
- "password": "pbkdf2_sha256$120000$gOUXsvBSdkm4$dliHiRRChmIO6WOFZu/UpfSnz7C7DXdUtv59WLHGPfk=",
+ "password": "pbkdf2_sha256$120000$paQdGbzx19CI$S2acm3iY1p/pm0YlU2aM+asZTS8Go6JlbXZwmYyn7So=",
"last_login": null,
"email": "user@user.fr",
"is_active": true,
@@ -1007,7 +1034,7 @@
},
{
"model": "users.oauthcredentials",
- "pk": "675eaaa8-3152-4fe5-a891-fee8f9fbd56c",
+ "pk": "d7d2a36a-a87a-4180-8bf2-c827f01828b2",
"fields": {
"user": 2,
"provider_name": "gitlab",
@@ -1024,7 +1051,7 @@
"pk": 1,
"fields": {
"user": 2,
- "corpus": "a0bea527-6005-4c43-a21d-8c137c7e1d2d",
+ "corpus": "18a7c751-c6f3-4868-a091-5fba65a40ab2",
"can_write": true,
"can_admin": true
}
diff --git a/arkindex/documents/management/commands/build_fixtures.py b/arkindex/documents/management/commands/build_fixtures.py
index cb9ca114a2fea99fa334d48f29444996692ca9c4..1976fac79c3575b829fa71dfa904f3b5d2299cb3 100644
--- a/arkindex/documents/management/commands/build_fixtures.py
+++ b/arkindex/documents/management/commands/build_fixtures.py
@@ -1,7 +1,10 @@
#!/usr/bin/env python3
from django.core.management.base import BaseCommand
-from arkindex.documents.models import \
- Corpus, Element, ElementType, Page, PageDirection, PageType, Act, Transcription, TranscriptionType
+from arkindex_common.ml_tool import MLToolType
+from arkindex.documents.models import (
+ Corpus, Element, ElementType, Page, PageDirection, PageType, Act,
+ Transcription, TranscriptionType, DataSource
+)
from arkindex.images.models import ImageServer, Image, Zone
from arkindex.users.models import User, CorpusRight
@@ -40,6 +43,14 @@ class Command(BaseCommand):
User.objects.create_superuser('root@root.fr', 'Pa$$w0rd')
user = User.objects.create_user('user@user.fr', 'Pa$$w0rd')
+ # Create 1 data source for transcriptions
+ source = DataSource.objects.create(
+ type=MLToolType.Recognizer,
+ slug='test',
+ revision='4.2',
+ internal=False,
+ )
+
# Create 1 corpus
corpus = Corpus.objects.create(name='Unit Tests', public=True)
@@ -88,6 +99,7 @@ class Command(BaseCommand):
for word, pos in [("PARIS", 100), ("ROY", 400), ("DATUM", 700)]:
Transcription.objects.create(
element=page,
+ source=source,
text=word,
type=TranscriptionType.Word,
zone=makezone(page.zone.image, pos, pos + 100),
diff --git a/arkindex/documents/management/commands/from_csv.py b/arkindex/documents/management/commands/from_csv.py
index f9d8c998a284a437f7f1cab093a0254afae2d58f..dd3f811f1f62f4a9efaf41986ba39cd855ade6ba 100644
--- a/arkindex/documents/management/commands/from_csv.py
+++ b/arkindex/documents/management/commands/from_csv.py
@@ -31,7 +31,12 @@ class Command(BaseCommand):
parser.add_argument(
'--corpus-id',
required=True,
- help='Slug of corpus to import volumes into'
+ help='ID of corpus to import volumes into'
+ )
+ parser.add_argument(
+ '--source-id',
+ required=True,
+ help='ID of source to import index files into'
)
parser.add_argument(
'--col-name',
@@ -75,6 +80,7 @@ class Command(BaseCommand):
csv_data,
options['index_root'],
options['corpus_id'],
+ options['source_id'],
col_name=options['col_name'],
col_url=options['col_url'],
col_path=options['col_path'],
diff --git a/arkindex/documents/management/commands/import_annotations.py b/arkindex/documents/management/commands/import_annotations.py
index f1042b5659c438ebb5d6c4a6617d3b4f3dea3029..334426aac3fa4d4ce539b0086db30f29246e1ac9 100644
--- a/arkindex/documents/management/commands/import_annotations.py
+++ b/arkindex/documents/management/commands/import_annotations.py
@@ -1,9 +1,10 @@
#!/usr/bin/env python3
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
+from arkindex_common.ml_tool import MLToolType
from arkindex.project.tools import Timer
from arkindex.images.importer import IndexImporter
-from arkindex.documents.models import Element, ElementType, Corpus, Transcription
+from arkindex.documents.models import Element, ElementType, Corpus, Transcription, DataSource
from arkindex.documents.tasks import import_annotations
import logging
import datetime
@@ -36,6 +37,11 @@ class Command(BaseCommand):
help='ID or part of the name of the volume to import annotations in',
required=True,
)
+ parser.add_argument(
+ '--source',
+ help='ID or part of the slug of a datasource to link annotations to',
+ required=True,
+ )
parser.add_argument(
'--dry-run',
help='Only show the associated images found for all index files, without importing anything'
@@ -86,6 +92,12 @@ class Command(BaseCommand):
except Exception:
volume = Element.objects.get(name__icontains=options['volume'], type=ElementType.Volume, corpus=corpus)
+ # Find source
+ try:
+ source = DataSource.objects.get(pk=options['source'], type=MLToolType.Recognizer)
+ except Exception:
+ source = DataSource.objects.get(slug__icontains=options['source'], type=MLToolType.Recognizer)
+
# Handle mask
if options['mask'] is not None and options['regex'] != IndexImporter.DEFAULT_MASK:
raise CommandError('--mask and --regex cannot be used simultaneously.')
@@ -100,7 +112,7 @@ class Command(BaseCommand):
mask_regex = '^' + r'(.+)'.join(re.escape(p) for p in mask.split('<PATH>')) + '$'
if not options['bench']:
- self.start_import(options, volume, mask_regex)
+ self.start_import(options, volume, source, mask_regex)
return
# Log to file
@@ -116,15 +128,15 @@ class Command(BaseCommand):
Transcription.objects.filter(element__in=Element.objects.get_descending(volume.id)).delete()
with Timer() as t:
- self.start_import(options, volume, mask_regex)
+ self.start_import(options, volume, source, mask_regex)
logger.info("Run #{}: {}".format(i + 1, t.delta))
- def start_import(self, options, volume, regex):
+ def start_import(self, options, volume, source, regex):
if options['dry_run']:
- importer = IndexImporter(options['index_folder'], volume, mask=regex)
+ importer = IndexImporter(options['index_folder'], volume, source, mask=regex)
importer.dry_run()
else:
- sign = import_annotations.s(options['index_folder'], volume.id, mask=regex)
+ sign = import_annotations.s(options['index_folder'], volume.id, source.id, mask=regex)
if options['sync'] or options['bench']:
sign()
else:
diff --git a/arkindex/documents/migrations/0027_sources.py b/arkindex/documents/migrations/0027_sources.py
new file mode 100644
index 0000000000000000000000000000000000000000..fc4d10b02162706c7a2fc317b3e6d6d599265be5
--- /dev/null
+++ b/arkindex/documents/migrations/0027_sources.py
@@ -0,0 +1,86 @@
+# Generated by Django 2.1 on 2018-12-12 15:42
+
+from arkindex_common.ml_tool import MLToolType
+from django.db import migrations, models
+import django.db.models.deletion
+import enumfields.fields
+import uuid
+
+
+def migrate_transcriptions(apps, schema_editor):
+ """
+ Link existing transcriptions to Valencià 2017
+ """
+ DataSource = apps.get_model('documents', 'DataSource')
+ Transcription = apps.get_model('documents', 'Transcription')
+
+ if not Transcription.objects.exists():
+ return
+
+ print('Adding Valencià source to transcriptions')
+ valencia = DataSource.objects.create(
+ type=MLToolType.Recognizer,
+ slug='valencia',
+ revision='2017',
+ internal=False,
+ )
+ Transcription.objects.all().update(source=valencia)
+ print('Done')
+
+
+class Migration(migrations.Migration):
+
+ dependencies = [
+ ('documents', '0026_corpus_description'),
+ ]
+
+ operations = [
+ # Create data sources
+ migrations.CreateModel(
+ name='DataSource',
+ fields=[
+ ('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)),
+ ('type', enumfields.fields.EnumField(enum=MLToolType, max_length=10)),
+ ('slug', models.CharField(max_length=100)),
+ ('revision', models.CharField(max_length=100)),
+ ('internal', models.BooleanField()),
+ ],
+ ),
+ migrations.AlterUniqueTogether(
+ name='datasource',
+ unique_together={('type', 'slug', 'revision')},
+ ),
+
+ # Link data sources to transcriptions
+ migrations.AddField(
+ model_name='transcription',
+ name='source',
+ field=models.ForeignKey(
+ blank=True,
+ null=True,
+ on_delete=django.db.models.deletion.CASCADE,
+ related_name='transcriptions',
+ to='documents.DataSource',
+ ),
+ ),
+
+ # Link existing transcriptions to ValenciÃ
+ migrations.RunPython(migrate_transcriptions, reverse_code=migrations.RunPython.noop, elidable=True),
+
+ # NOT NULL on source
+ migrations.AlterField(
+ model_name='transcription',
+ name='source',
+ field=models.ForeignKey(
+ on_delete=django.db.models.deletion.CASCADE,
+ related_name='transcriptions',
+ to='documents.DataSource',
+ ),
+ ),
+
+ # Remove now useless page text field
+ migrations.RemoveField(
+ model_name='page',
+ name='text',
+ ),
+ ]
diff --git a/arkindex/documents/migrations/0028_classifications.py b/arkindex/documents/migrations/0028_classifications.py
new file mode 100644
index 0000000000000000000000000000000000000000..8fbbca8f4ebe674c1af87c49339b7f6ec7e98863
--- /dev/null
+++ b/arkindex/documents/migrations/0028_classifications.py
@@ -0,0 +1,101 @@
+# Generated by Django 2.1 on 2018-12-13 09:11
+
+from django.db import migrations, models
+from arkindex_common.ml_tool import MLToolType
+import uuid
+
+
+def migrate_classifications(apps, schema_editor):
+ """
+ Create classifications from the JSONField
+ """
+ DataSource = apps.get_model('documents', 'DataSource')
+ Page = apps.get_model('documents', 'Page')
+ Classification = apps.get_model('documents', 'Classification')
+
+ pages = Page.objects.filter(classification__isnull=False)
+ if not pages.exists():
+ return
+
+ tobacco = DataSource.objects.create(
+ type=MLToolType.Classifier,
+ slug='tobacco',
+ revision='c0ffee',
+ internal=True,
+ )
+
+ print('Preparing classification instances')
+ classifications = []
+ for page in pages.only('id', 'classification'):
+ data = page.classification
+ if isinstance(data, dict):
+ data = [data]
+ classifications.extend([
+ Classification(
+ page=page,
+ source=tobacco,
+ class_name=cl['label'],
+ confidence=cl['probability'],
+ )
+ for cl in data
+ if isinstance(cl, dict)
+ ])
+
+ print('Creating classifications')
+ Classification.objects.bulk_create(classifications)
+ print('Done')
+
+
+class Migration(migrations.Migration):
+
+ dependencies = [
+ ('documents', '0027_sources'),
+ ]
+
+ operations = [
+ # Create classification model
+ migrations.CreateModel(
+ name='Classification',
+ fields=[
+ ('id', models.UUIDField(default=uuid.uuid4, primary_key=True, serialize=False)),
+ ('class_name', models.CharField(max_length=100)),
+ ('confidence', models.FloatField(blank=True, null=True)),
+ ('page', models.ForeignKey(
+ on_delete=models.deletion.CASCADE,
+ related_name='classifications',
+ to='documents.Page',
+ )),
+ ('source', models.ForeignKey(
+ blank=True,
+ null=True,
+ on_delete=models.deletion.CASCADE,
+ related_name='classifications',
+ to='documents.DataSource',
+ )),
+ ],
+ ),
+ migrations.AlterUniqueTogether(
+ name='classification',
+ unique_together={('page', 'source', 'class_name')},
+ ),
+
+ # Create classifications from Page.classification JSONField
+ migrations.RunPython(migrate_classifications, elidable=True),
+
+ # NOT NULL on source
+ migrations.AlterField(
+ model_name='classification',
+ name='source',
+ field=models.ForeignKey(
+ on_delete=models.deletion.CASCADE,
+ related_name='classifications',
+ to='documents.DataSource',
+ ),
+ ),
+
+ # Remove now useless JSONField
+ migrations.RemoveField(
+ model_name='page',
+ name='classification',
+ ),
+ ]
diff --git a/arkindex/documents/models.py b/arkindex/documents/models.py
index bd4adfc0d79fcb1d91c3c14eb3a4326d4fdcd2b2..7f75e898da4360182312a02f30e2e361d8a9c9b6 100644
--- a/arkindex/documents/models.py
+++ b/arkindex/documents/models.py
@@ -1,8 +1,8 @@
from django.db import models, transaction
from django.contrib.postgres.indexes import GinIndex
-from django.contrib.postgres.fields import JSONField
from django.utils.functional import cached_property
from enumfields import EnumField, Enum
+from arkindex_common.ml_tool import MLToolType
from arkindex.project.models import IndexableModel
from arkindex.project.fields import ArrayField
from arkindex.documents.managers import ElementManager, CorpusManager
@@ -279,10 +279,6 @@ class Page(Element):
folio = models.CharField(max_length=250)
- # Machine learning classes
- classification = JSONField(null=True, blank=True)
- text = models.TextField(null=True, blank=True)
-
# Parsed folio
page_type = EnumField(PageType, max_length=50, null=True, blank=True)
nb = models.PositiveIntegerField(null=True, blank=True)
@@ -397,14 +393,19 @@ class Page(Element):
]
}
- def build_text(self):
- self.text = '\n'.join(
- t.text
- for t in sorted(
- self.transcriptions.filter(type=TranscriptionType.Line).prefetch_related('zone'),
- key=lambda t: (t.zone.polygon.center.y, t.zone.polygon.center.x),
- )
- )
+ @property
+ def page_transcriptions(self):
+ """
+ A helper property to write a serializer than only uses Page transcriptions
+ """
+ return self.transcriptions.filter(type=TranscriptionType.Page)
+
+ @property
+ def best_classes(self):
+ """
+ The three most probable classifications
+ """
+ return self.classifications.order_by('-confidence')[:3]
class Act(Element):
@@ -448,7 +449,30 @@ class Act(Element):
}
+class DataSource(models.Model):
+ id = models.UUIDField(primary_key=True, default=uuid.uuid4)
+ type = EnumField(MLToolType)
+ slug = models.CharField(max_length=100)
+ revision = models.CharField(max_length=100)
+ internal = models.BooleanField()
+
+ class Meta:
+ unique_together = (
+ ('type', 'slug', 'revision'),
+ )
+
+ @staticmethod
+ def from_ml_tool(ml_tool):
+ return DataSource.objects.get_or_create(
+ type=ml_tool.type,
+ slug=ml_tool.slug,
+ revision=str(ml_tool.version),
+ internal=True,
+ )[0]
+
+
class TranscriptionType(Enum):
+ Page = 'page'
Paragraph = 'paragraph'
Line = 'line'
Word = 'word'
@@ -481,12 +505,17 @@ class Transcription(models.Model):
null=True,
blank=True,
)
+ source = models.ForeignKey(
+ DataSource,
+ on_delete=models.CASCADE,
+ related_name='transcriptions',
+ )
text = models.TextField(null=True, blank=True)
score = models.FloatField(null=True, blank=True)
class Meta:
- # This index is manually created in a migration to
- # support the md5(text) operation
+ # The following index was attempted with md5(text) in a manual migration
+ # but it causes too many performance issues.
# unique_together = (
# ('element', 'zone', 'text')
# )
@@ -508,6 +537,30 @@ class Transcription(models.Model):
}
+class Classification(models.Model):
+ """
+ A result of a classifier on a page
+ """
+ id = models.UUIDField(default=uuid.uuid4, primary_key=True)
+ page = models.ForeignKey(
+ Page,
+ on_delete=models.CASCADE,
+ related_name='classifications',
+ )
+ source = models.ForeignKey(
+ DataSource,
+ on_delete=models.CASCADE,
+ related_name='classifications',
+ )
+ class_name = models.CharField(max_length=100)
+ confidence = models.FloatField(null=True, blank=True)
+
+ class Meta:
+ unique_together = (
+ ('page', 'source', 'class_name'),
+ )
+
+
class MetaType(Enum):
Text = 'text'
HTML = 'html'
diff --git a/arkindex/documents/search.py b/arkindex/documents/search.py
index 19369d8265fc47c949654833a8a3ed1a9fb02c6c..ea42b86a574ba31b576d2d48eb1bbb6ca59d6a5e 100644
--- a/arkindex/documents/search.py
+++ b/arkindex/documents/search.py
@@ -13,7 +13,7 @@ def search_transcriptions_post(data):
ts = Transcription.objects \
.filter(id__in=transcription_ids) \
.order_by('-score') \
- .prefetch_related('zone__image__server', 'element')
+ .prefetch_related('zone__image__server', 'element', 'source')
# Recompute in case some transcriptions are not found in Postgres
transcription_ids = [t.element_id for t in ts]
all_parent_paths = Element.objects.get_ascendings_paths(*transcription_ids)
diff --git a/arkindex/documents/serializers/elements.py b/arkindex/documents/serializers/elements.py
index 3520fb6bcb619abef85b0075ef02c98c78aff6b9..9ec1fbc4aaa182008cf2671a4a69be4ef96f1eca 100644
--- a/arkindex/documents/serializers/elements.py
+++ b/arkindex/documents/serializers/elements.py
@@ -3,6 +3,8 @@ from arkindex.documents.models import \
Element, ElementType, Page, PageType, PageDirection, Act, Corpus, MetaData, MetaType
from arkindex.images.serializers import ZoneSerializer, ImageSerializer
from arkindex.documents.serializers.light import ElementLightSerializer, CorpusLightSerializer
+from arkindex.documents.serializers.transcriptions import TranscriptionSerializer
+from arkindex.documents.serializers.ml import ClassificationSerializer
from arkindex.dataimport.serializers import RevisionSerializer
from arkindex.dataimport.models import EventType
from arkindex.project.serializer_fields import EnumField
@@ -37,12 +39,18 @@ class PageSerializer(serializers.ModelSerializer):
parents = serializers.ListField(
child=serializers.ListField(
- child=ElementLightSerializer()
+ child=ElementLightSerializer(),
),
source='parent_elements',
read_only=True,
)
+ transcriptions = TranscriptionSerializer(
+ source='page_transcriptions',
+ many=True,
+ )
+ classifications = ClassificationSerializer(many=True)
+
class Meta:
model = Page
fields = (
@@ -52,10 +60,10 @@ class PageSerializer(serializers.ModelSerializer):
'direction',
'display_name',
'image',
- 'classification',
- 'text',
'corpus',
'parents',
+ 'transcriptions',
+ 'classifications',
)
diff --git a/arkindex/documents/serializers/light.py b/arkindex/documents/serializers/light.py
index f6eec20ccdea0cf539c0f5ed9824649dd1aadb0f..385bcbeb4b3be7c02b1d67d364758d719a6a08ba 100644
--- a/arkindex/documents/serializers/light.py
+++ b/arkindex/documents/serializers/light.py
@@ -1,5 +1,6 @@
from rest_framework import serializers
from arkindex.documents.models import Element, ElementType, Corpus, Page, PageType, PageDirection
+from arkindex.documents.serializers.ml import ClassificationSerializer
from arkindex.images.serializers import ImageSerializer
from arkindex.project.serializer_fields import EnumField
@@ -26,16 +27,7 @@ class PageLightSerializer(serializers.ModelSerializer):
page_type = EnumField(PageType)
direction = EnumField(PageDirection)
image = ImageSerializer(source='zone.image')
- best_classes = serializers.SerializerMethodField()
-
- def get_best_classes(self, obj):
- if not obj.classification:
- return []
- return sorted(
- obj.classification,
- key=lambda c: c['probability'],
- reverse=True,
- )[:3]
+ best_classes = ClassificationSerializer(many=True)
class Meta:
model = Page
diff --git a/arkindex/documents/serializers/ml.py b/arkindex/documents/serializers/ml.py
new file mode 100644
index 0000000000000000000000000000000000000000..5d31dae36b01eef68da8b3a113a81fc812522c59
--- /dev/null
+++ b/arkindex/documents/serializers/ml.py
@@ -0,0 +1,38 @@
+from rest_framework import serializers
+from arkindex_common.ml_tool import MLToolType
+from arkindex.project.serializer_fields import EnumField
+from arkindex.documents.models import DataSource, Classification
+
+
+class DataSourceSerializer(serializers.ModelSerializer):
+ """
+ Serialize a data source for transcriptions and classifications
+ """
+
+ type = EnumField(MLToolType)
+
+ class Meta:
+ model = DataSource
+ fields = (
+ 'id',
+ 'type',
+ 'slug',
+ 'revision',
+ 'internal',
+ )
+
+
+class ClassificationSerializer(serializers.ModelSerializer):
+ """
+ Serialize a classification on a Page
+ """
+
+ source = DataSourceSerializer()
+
+ class Meta:
+ model = Classification
+ fields = (
+ 'source',
+ 'class_name',
+ 'confidence',
+ )
diff --git a/arkindex/documents/serializers/transcriptions.py b/arkindex/documents/serializers/transcriptions.py
index 8fb42db8ef2022cea642b7542f034279cc1c01dc..af4af07a044c7e736702f4d7a74adb0a99fe0b05 100644
--- a/arkindex/documents/serializers/transcriptions.py
+++ b/arkindex/documents/serializers/transcriptions.py
@@ -1,5 +1,7 @@
from rest_framework import serializers
-from arkindex.documents.models import Element, Transcription, TranscriptionType, Corpus
+from arkindex_common.ml_tool import MLToolType
+from arkindex.documents.models import Element, Transcription, TranscriptionType, Corpus, DataSource
+from arkindex.documents.serializers.ml import DataSourceSerializer
from arkindex.images.models import Image
from arkindex.images.serializers import ZoneSerializer
from arkindex.project.serializer_fields import EnumField
@@ -13,6 +15,7 @@ class TranscriptionSerializer(serializers.ModelSerializer):
type = EnumField(TranscriptionType)
zone = ZoneSerializer()
+ source = DataSourceSerializer()
class Meta:
model = Transcription
@@ -22,6 +25,7 @@ class TranscriptionSerializer(serializers.ModelSerializer):
'text',
'score',
'zone',
+ 'source',
)
@@ -30,6 +34,7 @@ class TranscriptionCreateSerializer(serializers.Serializer):
Allows for insertion of new transcriptions and zones
"""
element = serializers.PrimaryKeyRelatedField(queryset=Element.objects.all())
+ source = serializers.PrimaryKeyRelatedField(queryset=DataSource.objects.filter(type=MLToolType.Recognizer))
polygon = serializers.ListField(
child=serializers.ListField(
child=serializers.IntegerField(),
@@ -77,6 +82,7 @@ class TranscriptionsSerializer(serializers.Serializer):
transcriptions = TranscriptionBulkSerializer(many=True)
parent = serializers.PrimaryKeyRelatedField(queryset=Element.objects.all())
image = serializers.PrimaryKeyRelatedField(queryset=Image.objects.all())
+ source = serializers.PrimaryKeyRelatedField(queryset=DataSource.objects.filter(type=MLToolType.Recognizer))
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
diff --git a/arkindex/documents/tasks.py b/arkindex/documents/tasks.py
index 7c99ec4c19515e2e3a438d042d053cbccaa86277..2040edf1c12b4dd92d414a6ea2f741a9c4eab017 100644
--- a/arkindex/documents/tasks.py
+++ b/arkindex/documents/tasks.py
@@ -2,7 +2,8 @@ from celery import shared_task, group, chain
from celery_once import QueueOnce
from celery.utils.log import get_task_logger
from django.conf import settings
-from arkindex.documents.models import Element, Act, Transcription, Page, ElementType
+from arkindex_common.ml_tool import MLToolType
+from arkindex.documents.models import Element, Act, Transcription, Page, ElementType, DataSource
from arkindex.documents.indexer import Indexer
from arkindex.documents.surface import SurfaceImporter
from arkindex.documents.surface_link import SurfaceLinker
@@ -74,16 +75,17 @@ def import_manifest(*args, **kwargs):
@shared_task
-def import_annotations(path, volume_id, mask=IndexImporter.DEFAULT_MASK):
+def import_annotations(path, volume_id, source_id, mask=IndexImporter.DEFAULT_MASK):
"""
Import annotations from .idx.gz files into a volume
"""
volume = Element.objects.get(id=volume_id, type=ElementType.Volume)
- IndexImporter(path, volume, mask=mask).run()
+ source = DataSource.objects.get(id=source_id, type=MLToolType.Recognizer)
+ IndexImporter(path, volume, source, mask=mask).run()
@shared_task
-def import_annotations_csv(name, raw_path, source, index_root):
+def import_annotations_csv(name, raw_path, source, datasource_id, index_root):
"""
Import annotations from a CSV line
"""
@@ -95,22 +97,24 @@ def import_annotations_csv(name, raw_path, source, index_root):
'Index files path not found for volume {} : {}'.format(name, index_path)
volume = Element.objects.get(name=name, type=ElementType.Volume)
+ datasource = DataSource.objects.get(id=datasource_id, type=MLToolType.Recognizer)
if source == 'bvmm':
logger.info("Importing BVMM annotations for volume {}".format(name))
- importer = IndexImporter(index_path, volume, mask=r'(?:.*/)?([^/]+)_[A-Z]\.idx\.gz')
+ importer = IndexImporter(index_path, volume, datasource, mask=r'(?:.*/)?([^/]+)_[A-Z]\.idx\.gz')
elif source == 'gallica':
logger.info("Importing Gallica annotations for volume {}".format(name))
- importer = GallicaIndexImporter(index_path, volume)
+ importer = GallicaIndexImporter(index_path, volume, datasource)
else: # Try anyway
logger.info("Importing unknown annotations for volume {}".format(name))
- importer = IndexImporter(index_path, volume)
+ importer = IndexImporter(index_path, volume, datasource)
importer.run()
@shared_task
-def import_manifests_annotations(csv_data, index_root, corpus_id, col_name=0, col_url=1, col_path=2, col_source=3):
+def import_manifests_annotations(csv_data, index_root, corpus_id, datasource_id,
+ col_name=0, col_url=1, col_path=2, col_source=3):
'''
Import both manifests & annotations
from a parsed csv file (or whatever table)
@@ -121,7 +125,13 @@ def import_manifests_annotations(csv_data, index_root, corpus_id, col_name=0, co
for row in csv_data
]
annotations = [
- import_annotations_csv.si(row[col_name], row[col_path], row[col_source], index_root=index_root)
+ import_annotations_csv.si(
+ row[col_name],
+ row[col_path],
+ row[col_source],
+ index_root=index_root,
+ datasource_id=datasource_id,
+ )
for row in csv_data
]
diff --git a/arkindex/documents/tests/commands/test_import_annotations.py b/arkindex/documents/tests/commands/test_import_annotations.py
index a5ecf327c34b4f4d14a2394d0efe16ff4f298f65..24615059839d7e146346cda273f5b9087457b11e 100644
--- a/arkindex/documents/tests/commands/test_import_annotations.py
+++ b/arkindex/documents/tests/commands/test_import_annotations.py
@@ -2,7 +2,7 @@ from django.core.management import call_command
from django.core.management.base import CommandError
from unittest.mock import patch
from arkindex.project.tests import FixtureTestCase
-from arkindex.documents.models import Element, ElementType
+from arkindex.documents.models import Element, ElementType, DataSource
class TestImportAnnotationsCommand(FixtureTestCase):
@@ -14,6 +14,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
def setUpTestData(cls):
super().setUpTestData()
cls.vol = Element.objects.get(type=ElementType.Volume, name="Volume 1")
+ cls.source = DataSource.objects.get(slug='test')
def setUp(self):
super().setUp()
@@ -31,10 +32,16 @@ class TestImportAnnotationsCommand(FixtureTestCase):
"""
Test import_annotations starts a Celery task
"""
- call_command('import_annotations', 'somefolder', corpus=str(self.corpus.id), volume=str(self.vol.id))
+ call_command(
+ 'import_annotations',
+ 'somefolder',
+ corpus=str(self.corpus.id),
+ volume=str(self.vol.id),
+ source=str(self.source.id),
+ )
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 1)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
def test_dry_run(self):
@@ -46,13 +53,14 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
dry_run=True,
)
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 0)
self.assertEqual(self.importer_mock.call_count, 1)
args, kwargs = self.importer_mock.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol))
+ self.assertTupleEqual(args, ('somefolder', self.vol, self.source))
self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
self.assertEqual(self.importer_mock().dry_run.call_count, 1)
@@ -66,6 +74,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
sync=True,
)
self.assertEqual(self.import_task_mock.s.call_count, 1)
@@ -73,7 +82,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 0)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
def test_benchmark(self):
@@ -85,13 +94,14 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
bench=3,
)
self.assertEqual(self.import_task_mock.s.return_value.call_count, 3)
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 0)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
@patch('arkindex.documents.management.commands.import_annotations.logging.getLogger')
@@ -104,6 +114,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
verbosity=1,
)
self.assertFalse(getlogger().setLevel.called)
@@ -113,6 +124,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
verbosity=2,
)
self.assertTrue(getlogger().setLevel.called)
@@ -121,20 +133,48 @@ class TestImportAnnotationsCommand(FixtureTestCase):
"""
Test import_annotations can look for a volume by case-insensitive name
"""
- call_command('import_annotations', 'somefolder', corpus=str(self.corpus.id), volume='volume 1')
+ call_command(
+ 'import_annotations',
+ 'somefolder',
+ corpus=str(self.corpus.id),
+ volume='volume 1',
+ source=str(self.source.id),
+ )
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 1)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
def test_corpus_name(self):
"""
Test import_annotations can look for a corpus by case-insensitive name
"""
- call_command('import_annotations', 'somefolder', corpus='tests', volume=str(self.vol.id))
+ call_command(
+ 'import_annotations',
+ 'somefolder',
+ corpus='tests',
+ volume=str(self.vol.id),
+ source=str(self.source.id),
+ )
+ self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 1)
+ args, kwargs = self.import_task_mock.s.call_args
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
+ self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
+
+ def test_source_slug(self):
+ """
+ Test import_annotations can look for a source by case-insensitive slug
+ """
+ call_command(
+ 'import_annotations',
+ 'somefolder',
+ corpus='tests',
+ volume=str(self.vol.id),
+ source='Test',
+ )
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 1)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': self.importer_mock.DEFAULT_MASK})
def test_regex(self):
@@ -146,11 +186,12 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
regex='some_regex',
)
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 1)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': 'some_regex'})
def test_mask(self):
@@ -162,11 +203,12 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
mask='something<PATH>otherthing',
)
self.assertEqual(self.import_task_mock.s.return_value.delay.call_count, 1)
args, kwargs = self.import_task_mock.s.call_args
- self.assertTupleEqual(args, ('somefolder', self.vol.id))
+ self.assertTupleEqual(args, ('somefolder', self.vol.id, self.source.id))
self.assertDictEqual(kwargs, {'mask': r'^something(.+)otherthing$'})
def test_invalid_mask(self):
@@ -180,6 +222,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
mask='some_invalid_mask',
)
@@ -194,6 +237,7 @@ class TestImportAnnotationsCommand(FixtureTestCase):
'somefolder',
corpus=str(self.corpus.id),
volume=str(self.vol.id),
+ source=str(self.source.id),
mask='some_mask',
regex='some_regex',
)
diff --git a/arkindex/documents/tests/test_page.py b/arkindex/documents/tests/test_page.py
deleted file mode 100644
index ebb16a2767bf2a5039a0693784e2a3b1b9e5a265..0000000000000000000000000000000000000000
--- a/arkindex/documents/tests/test_page.py
+++ /dev/null
@@ -1,42 +0,0 @@
-from arkindex.project.tests import FixtureTestCase
-from arkindex.project.polygon import Polygon
-from arkindex.documents.models import Page, TranscriptionType
-
-
-class TestPage(FixtureTestCase):
-
- def test_build_text(self):
- img = self.imgsrv.images.create(path='build_text_test')
- page = Page.objects.create(
- corpus=self.corpus,
- name='Page text test',
- zone=img.zones.create(
- polygon=Polygon.from_coords(0, 0, 1000, 1000),
- ),
- )
- # Two lines next to each other
- page.transcriptions.create(
- type=TranscriptionType.Line,
- zone=img.zones.create(polygon=Polygon.from_coords(0, 0, 500, 100)),
- text='Ligne 1',
- )
- page.transcriptions.create(
- type=TranscriptionType.Line,
- zone=img.zones.create(polygon=Polygon.from_coords(600, 0, 100, 100)),
- text='Ligne 2',
- )
- # One line under them
- page.transcriptions.create(
- type=TranscriptionType.Line,
- zone=img.zones.create(polygon=Polygon.from_coords(0, 200, 42, 42)),
- text='Ligne 3',
- )
- # A word that should not appear
- page.transcriptions.create(
- type=TranscriptionType.Word,
- zone=img.zones.create(polygon=Polygon.from_coords(0, 0, 42, 42)),
- text='Mot',
- )
-
- page.build_text()
- self.assertEqual(page.text, "Ligne 1\nLigne 2\nLigne 3")
diff --git a/arkindex/documents/tests/test_transcription_create.py b/arkindex/documents/tests/test_transcription_create.py
index 83f98b7f0fa29a667a7e9828abb16884fcbd8835..5b33d373a24b55e603b0b588e8cf513e4ac494c4 100644
--- a/arkindex/documents/tests/test_transcription_create.py
+++ b/arkindex/documents/tests/test_transcription_create.py
@@ -3,7 +3,7 @@ from unittest.mock import patch
from rest_framework import status
from arkindex.project.tests import FixtureAPITestCase
from arkindex.project.polygon import Polygon
-from arkindex.documents.models import Page, Transcription, TranscriptionType
+from arkindex.documents.models import Page, Transcription, TranscriptionType, DataSource
import uuid
@@ -12,8 +12,11 @@ class TestTranscriptionCreate(FixtureAPITestCase):
Tests for text element creation view
"""
- def setUp(self):
- self.page = Page.objects.get(corpus=self.corpus, zone__image__path='img1')
+ @classmethod
+ def setUpTestData(cls):
+ super().setUpTestData()
+ cls.page = Page.objects.get(corpus=cls.corpus, zone__image__path='img1')
+ cls.src = DataSource.objects.get(slug='test')
def test_require_login(self):
response = self.client.post(reverse('api:transcription-create'), format='json')
@@ -28,6 +31,7 @@ class TestTranscriptionCreate(FixtureAPITestCase):
response = self.client.post(reverse('api:transcription-create'), format='json', data={
"type": "word",
"element": str(self.page.id),
+ "source": self.src.id,
"polygon": [(0, 0), (100, 0), (100, 100), (0, 100), (0, 0)],
"text": "NEKUDOTAYIM",
"score": 0.83,
@@ -36,6 +40,7 @@ class TestTranscriptionCreate(FixtureAPITestCase):
new_ts = Transcription.objects.get(text="NEKUDOTAYIM", type=TranscriptionType.Word)
self.assertEqual(new_ts.zone.polygon, Polygon.from_coords(0, 0, 100, 100))
self.assertEqual(new_ts.score, 0.83)
+ self.assertEqual(new_ts.source, self.src)
self.assertTrue(self.page.transcriptions.filter(pk=new_ts.id).exists())
self.assertTrue(indexer.return_value.run_index.called)
@@ -48,13 +53,13 @@ class TestTranscriptionCreate(FixtureAPITestCase):
response = self.client.post(reverse('api:transcription-create'), format='json', data={
"type": "word",
"element": str(self.page.id),
+ "source": self.src.id,
"polygon": ts.zone.polygon.serialize(),
"text": "GLOUBIBOULGA",
"score": 0.8,
})
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
- self.assertEqual(
- Transcription.objects.get(text="GLOUBIBOULGA").zone.id, ts.zone.id)
+ self.assertEqual(Transcription.objects.get(text="GLOUBIBOULGA").zone.id, ts.zone.id)
def test_update_transcription(self):
"""
@@ -66,6 +71,7 @@ class TestTranscriptionCreate(FixtureAPITestCase):
response = self.client.post(reverse('api:transcription-create'), format='json', data={
"type": "word",
"element": str(self.page.id),
+ "source": ts.source_id,
"polygon": ts.zone.polygon.serialize(),
"text": ts.text,
"score": 0.99,
@@ -85,6 +91,7 @@ class TestTranscriptionCreate(FixtureAPITestCase):
post_data = {
"type": "word",
"element": str(self.page.id),
+ "source": self.src.id,
"polygon": [(0, 0), (0, 100), (100, 100), (100, 0), (0, 0)],
"text": "NEKUDOTAYIM",
"score": 0.83,
@@ -121,6 +128,7 @@ class TestTranscriptionCreate(FixtureAPITestCase):
response = self.client.post(reverse('api:transcription-bulk'), format='json', data={
"parent": str(self.page.id),
"image": str(self.page.zone.image.id),
+ "source": self.src.id,
"transcriptions": [
{
"type": "word",
@@ -140,6 +148,7 @@ class TestTranscriptionCreate(FixtureAPITestCase):
new_ts = Transcription.objects.get(text="NEKUDOTAYIM", type=TranscriptionType.Word)
self.assertEqual(new_ts.zone.polygon, Polygon.from_coords(0, 0, 100, 100))
self.assertEqual(new_ts.score, 0.83)
+ self.assertEqual(new_ts.source, self.src)
self.assertTrue(self.page.transcriptions.filter(pk=new_ts.id).exists())
# indexer called
diff --git a/arkindex/images/importer.py b/arkindex/images/importer.py
index 0a22b48b9ea44e988bf0d3ebdf29f89d158d1dc6..f31b0c447df8e968492bf3c6d8a7452e6604f419 100644
--- a/arkindex/images/importer.py
+++ b/arkindex/images/importer.py
@@ -3,7 +3,7 @@ from abc import ABC, abstractmethod
from django.db import connection
from django.conf import settings
from arkindex.images.models import Image
-from arkindex.documents.models import TranscriptionType, Element, Page, ElementType, Transcription
+from arkindex.documents.models import TranscriptionType, Element, Page, ElementType, Transcription, DataSource
from arkindex.project.polygon import Polygon
from arkindex.project.tools import Timer
from arkindex.documents.indexer import Indexer
@@ -23,7 +23,7 @@ logger = logging.getLogger(__name__)
# Link a transcription data with a Polygon
# This is hashable (box is hashable)
-TrPolygon = namedtuple('TrPolygon', 'image_id, element_id, type, polygon, text, score')
+TrPolygon = namedtuple('TrPolygon', 'image_id, element_id, source_id, type, polygon, text, score')
def extract_transcriptions(image, page, index_path, extension='jpg'):
@@ -66,7 +66,7 @@ def extract_transcriptions(image, page, index_path, extension='jpg'):
return lines
-def build_transcriptions(image, parent, items):
+def build_transcriptions(image, parent, source, items):
"""
Build needed TrPolygon namedtuples from parsed index files
"""
@@ -77,6 +77,7 @@ def build_transcriptions(image, parent, items):
TrPolygon(
image.id,
parent.id,
+ source.id,
i.get('type', TranscriptionType.Word),
Polygon.from_dict(i),
i['text'],
@@ -90,6 +91,7 @@ def build_transcriptions(image, parent, items):
TrPolygon(
tr.zone.image_id,
tr.element_id,
+ tr.source_id,
tr.type,
tr.zone.polygon,
tr.text,
@@ -117,8 +119,22 @@ def save_transcriptions(*tr_polygons, delimiter='\t', quotechar='"'):
def new_transcription(tr_polygon):
zone_id = uuid.uuid4()
return (
- (uuid.uuid4(), tr_polygon.element_id, zone_id, tr_polygon.type.value, tr_polygon.text, tr_polygon.score),
- (zone_id, tr_polygon.image_id, tr_polygon.polygon.serialize(as_string=True), now, now),
+ (
+ uuid.uuid4(),
+ tr_polygon.element_id,
+ tr_polygon.source_id,
+ zone_id,
+ tr_polygon.type.value,
+ tr_polygon.text,
+ tr_polygon.score,
+ ),
+ (
+ zone_id,
+ tr_polygon.image_id,
+ tr_polygon.polygon.serialize(as_string=True),
+ now,
+ now,
+ ),
)
def _list_to_csv(rows):
@@ -145,7 +161,7 @@ def save_transcriptions(*tr_polygons, delimiter='\t', quotechar='"'):
cursor.copy_from(
_list_to_csv(transcriptions),
'documents_transcription',
- columns=('id', 'element_id', 'zone_id', 'type', 'text', 'score'),
+ columns=('id', 'element_id', 'source_id', 'zone_id', 'type', 'text', 'score'),
sep=delimiter,
)
@@ -181,12 +197,14 @@ def index_transcriptions(transcriptions):
class BaseIndexImporter(ABC):
"""Import index files (.idx.gz) as transcriptions."""
- def __init__(self, path, volume):
+ def __init__(self, path, volume, source):
assert os.path.exists(path)
assert isinstance(volume, Element)
assert volume.type == ElementType.Volume
+ assert isinstance(source, DataSource)
self.path = path
self.volume = volume
+ self.source = source
logger.debug('Fetching pages for volume {}'.format(str(self.volume)))
self.pages = list(Page.objects.get_descending(self.volume.id).prefetch_related('zone', 'zone__image'))
@@ -257,7 +275,7 @@ class BaseIndexImporter(ABC):
logger.debug('extract_transcriptions: {}'.format(t.delta))
with Timer() as t:
- polygons = build_transcriptions(image, page, lines)
+ polygons = build_transcriptions(image, page, self.source, lines)
for polygon in polygons:
queue.put(polygon) # will block until a slot is free
@@ -304,10 +322,10 @@ class IndexImporter(BaseIndexImporter):
DEFAULT_MASK = r'(?:.*/)?([^/]+)(?:_[a-zA-Z]*)?\.idx\.gz'
- def __init__(self, path, volume, mask=DEFAULT_MASK):
+ def __init__(self, path, volume, source, mask=DEFAULT_MASK):
self.mask = re.compile(mask)
logger.debug('Using mask {}'.format(self.mask.pattern))
- super().__init__(path, volume)
+ super().__init__(path, volume, source)
self.images = [p.zone.image for p in self.pages]
def get_image(self, path):
@@ -328,8 +346,8 @@ class GallicaIndexImporter(BaseIndexImporter):
REGEX = re.compile(r'.*_0*([0-9]+)(?:_[a-z]+)?\.idx\.gz')
- def __init__(self, path, volume):
- super().__init__(path, volume)
+ def __init__(self, *args, **kwargs):
+ super().__init__(*args, **kwargs)
self.images = {
p.zone.image.path.rpartition('/')[2]: p.zone.image
for p in self.pages
diff --git a/arkindex/images/tests.py b/arkindex/images/tests.py
index 80b43410ea48b74d666a8aac5d248e13f925d142..945edb6a30583d41ce21b9bf6457df7cbb82d69d 100644
--- a/arkindex/images/tests.py
+++ b/arkindex/images/tests.py
@@ -1,6 +1,6 @@
from arkindex.project.tests import FixtureTestCase
from arkindex.project.polygon import Polygon
-from arkindex.documents.models import Transcription, TranscriptionType
+from arkindex.documents.models import Transcription, TranscriptionType, DataSource
from arkindex.images.models import Image, ImageServer, ImageStatus
from arkindex.images.importer import build_transcriptions, save_transcriptions
@@ -8,11 +8,13 @@ from arkindex.images.importer import build_transcriptions, save_transcriptions
class TestBulkTranscriptions(FixtureTestCase):
"""Tests for bulk transcription and zone importing"""
- def setUp(self):
- # Create a page and an image
- self.img = Image.objects.get(path='img6', server=self.imgsrv)
- pagezone = self.img.zones.first()
- self.page = pagezone.elements.first()
+ @classmethod
+ def setUpTestData(cls):
+ super().setUpTestData()
+ cls.img = Image.objects.get(path='img6', server=cls.imgsrv)
+ pagezone = cls.img.zones.first()
+ cls.page = pagezone.elements.first()
+ cls.src = DataSource.objects.get(slug='test')
def test_bulk_transcriptions(self):
items = [
@@ -33,7 +35,7 @@ class TestBulkTranscriptions(FixtureTestCase):
'score': 0.2,
},
]
- trpolygons = build_transcriptions(self.img, self.page, items)
+ trpolygons = build_transcriptions(self.img, self.page, self.src, items)
save_transcriptions(*trpolygons)
out = Transcription.objects.filter(zone__image=self.img).order_by('score')
@@ -53,6 +55,9 @@ class TestBulkTranscriptions(FixtureTestCase):
self.assertEqual(out[0].zone.polygon, Polygon.from_coords(0, 0, 100, 100))
self.assertEqual(out[1].zone.polygon, Polygon.from_coords(20, 20, 100, 100))
+ self.assertEqual(out[0].source, self.src)
+ self.assertEqual(out[1].source, self.src)
+
# Check path
children = self.page.transcriptions.all()
self.assertEqual(children.count(), 2)
@@ -80,10 +85,10 @@ class TestBulkTranscriptions(FixtureTestCase):
'score': 0.2,
},
]
- trpolygons = build_transcriptions(self.img, self.page, items)
+ trpolygons = build_transcriptions(self.img, self.page, self.src, items)
self.assertEqual(len(trpolygons), 2)
save_transcriptions(*trpolygons)
- trpolygons = build_transcriptions(self.img, self.page, items)
+ trpolygons = build_transcriptions(self.img, self.page, self.src, items)
self.assertEqual(len(trpolygons), 0)
def test_bulk_transcriptions_polygons(self):
@@ -101,7 +106,7 @@ class TestBulkTranscriptions(FixtureTestCase):
'type': TranscriptionType.Line,
},
]
- trpolygons = build_transcriptions(self.img, self.page, items)
+ trpolygons = build_transcriptions(self.img, self.page, self.src, items)
self.assertEqual(len(trpolygons), 2)
save_transcriptions(*trpolygons)
@@ -126,7 +131,7 @@ class TestBulkTranscriptions(FixtureTestCase):
self.assertEqual(trs[1].zone.polygon, Polygon.from_coords(0, 0, 100, 100))
# should not recreate
- trpolygons = build_transcriptions(self.img, self.page, items)
+ trpolygons = build_transcriptions(self.img, self.page, self.src, items)
self.assertEqual(len(trpolygons), 0)
diff --git a/arkindex/project/settings.py b/arkindex/project/settings.py
index 7a2d2e5bfc4be769641635d3813da688a552d22d..45184c06e16ce78b627c13cdc6e092125e441696 100644
--- a/arkindex/project/settings.py
+++ b/arkindex/project/settings.py
@@ -34,6 +34,7 @@ BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
LOGS_DIR = os.environ.get('LOGS_DIR', os.path.realpath(os.path.join(BASE_DIR, '../logs')))
if not os.path.isdir(LOGS_DIR):
os.makedirs(LOGS_DIR)
+ML_CLASSIFIERS_DIR = os.environ.get('ML_CLASSIFIERS_DIR', os.path.join(BASE_DIR, '../../ml-classifiers'))
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = os.environ.get('SECRET_KEY', 'jf0w^y&ml(caax8f&a1mub)(js9(l5mhbbhosz3gi+m01ex+lo')
diff --git a/requirements.txt b/requirements.txt
index 529d594832ec89a33de60de40b692289ae5d379b..694900e2615acb9c57155021a189b572067a8d4d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -22,3 +22,4 @@ PyYAML==3.13
requests==2.18.4
roman==2.0.0
urllib3==1.22
+git+https://gitlab.com/arkindex/common.git#egg=arkindex-common