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Wire up PDF to jsonl processor to Khoj server layer (API, config)
- Specify PDF content to index via khoj.yml - Index PDF content on app start, reconfigure - Expose PDF as a search type via API
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commit
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9 changed files with 40 additions and 3 deletions
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@ -21,6 +21,7 @@ services:
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- ./tests/data/ledger/:/data/ledger/
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- ./tests/data/music/:/data/music/
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- ./tests/data/markdown/:/data/markdown/
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- ./tests/data/pdf/:/data/pdf/
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# Embeddings and models are populated after the first run
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# You can set these volumes to point to empty directories on host
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- ./tests/data/embeddings/:/data/embeddings/
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@ -21,6 +21,7 @@ keywords = [
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"markdown",
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"beancount",
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"images",
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"pdf",
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]
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classifiers = [
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"Development Status :: 4 - Beta",
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@ -15,6 +15,7 @@ from khoj.processor.ledger.beancount_to_jsonl import BeancountToJsonl
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from khoj.processor.jsonl.jsonl_to_jsonl import JsonlToJsonl
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from khoj.processor.markdown.markdown_to_jsonl import MarkdownToJsonl
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from khoj.processor.org_mode.org_to_jsonl import OrgToJsonl
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from khoj.processor.pdf.pdf_to_jsonl import PdfToJsonl
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from khoj.search_type import image_search, text_search
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from khoj.utils import constants, state
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from khoj.utils.config import SearchType, SearchModels, ProcessorConfigModel, ConversationProcessorConfigModel
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@ -132,6 +133,18 @@ def configure_search(model: SearchModels, config: FullConfig, regenerate: bool,
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filters=[DateFilter(), WordFilter(), FileFilter()],
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)
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# Initialize PDF Search
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if (t == state.SearchType.Pdf or t == None) and config.content_type.pdf:
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logger.info("💸 Setting up search for pdf")
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# Extract Entries, Generate PDF Embeddings
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model.pdf_search = text_search.setup(
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PdfToJsonl,
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config.content_type.pdf,
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search_config=config.search_type.asymmetric,
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regenerate=regenerate,
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filters=[DateFilter(), WordFilter(), FileFilter()],
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)
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# Initialize Image Search
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if (t == state.SearchType.Image or t == None) and config.content_type.image:
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logger.info("🌄 Setting up search for images")
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@ -42,6 +42,8 @@ class FileBrowser(QtWidgets.QWidget):
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return "Beancount Files (*.bean *.beancount)"
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elif search_type == SearchType.Markdown:
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return "Markdown Files (*.md *.markdown)"
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elif search_type == SearchType.Pdf:
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return "Pdf Files (*.pdf)"
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elif search_type == SearchType.Music:
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return "Org-Music Files (*.org)"
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elif search_type == SearchType.Image:
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@ -109,6 +109,17 @@ def search(
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with timer("Collating results took", logger):
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results = text_search.collate_results(hits, entries, results_count)
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elif (t == SearchType.Pdf or t == None) and state.model.pdf_search:
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# query pdf files
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with timer("Query took", logger):
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hits, entries = text_search.query(
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user_query, state.model.pdf_search, rank_results=r, score_threshold=score_threshold, dedupe=dedupe
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)
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# collate and return results
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with timer("Collating results took", logger):
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results = text_search.collate_results(hits, entries, results_count)
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elif (t == SearchType.Ledger or t == None) and state.model.ledger_search:
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# query transactions
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with timer("Query took", logger):
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@ -22,6 +22,7 @@ class SearchType(str, Enum):
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Music = "music"
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Markdown = "markdown"
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Image = "image"
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Pdf = "pdf"
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class ProcessorType(str, Enum):
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@ -61,6 +62,7 @@ class SearchModels:
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ledger_search: TextSearchModel = None
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music_search: TextSearchModel = None
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markdown_search: TextSearchModel = None
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pdf_search: TextSearchModel = None
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image_search: ImageSearchModel = None
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plugin_search: Dict[str, TextSearchModel] = None
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@ -28,6 +28,12 @@ default_config = {
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"compressed-jsonl": "~/.khoj/content/ledger/ledger.jsonl.gz",
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"embeddings-file": "~/.khoj/content/ledger/ledger_embeddings.pt",
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},
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"pdf": {
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"input-files": None,
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"input-filter": None,
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"compressed-jsonl": "~/.khoj/content/pdf/pdf.jsonl.gz",
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"embeddings-file": "~/.khoj/content/pdf/pdf_embeddings.pt",
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},
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"image": {
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"input-directories": None,
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"input-filter": None,
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@ -56,6 +56,7 @@ class ContentConfig(ConfigBase):
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image: Optional[ImageContentConfig]
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music: Optional[TextContentConfig]
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markdown: Optional[TextContentConfig]
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pdf: Optional[TextContentConfig]
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plugins: Optional[Dict[str, TextContentConfig]]
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@ -34,7 +34,7 @@ def test_search_with_invalid_content_type(client):
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# ----------------------------------------------------------------------------------------------------
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def test_search_with_valid_content_type(client):
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for content_type in ["org", "markdown", "ledger", "image", "music", "plugin1"]:
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for content_type in ["org", "markdown", "ledger", "image", "music", "pdf", "plugin1"]:
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# Act
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response = client.get(f"/api/search?q=random&t={content_type}")
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# Assert
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@ -52,7 +52,7 @@ def test_update_with_invalid_content_type(client):
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# ----------------------------------------------------------------------------------------------------
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def test_update_with_valid_content_type(client):
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for content_type in ["org", "markdown", "ledger", "image", "music", "plugin1"]:
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for content_type in ["org", "markdown", "ledger", "image", "music", "pdf", "plugin1"]:
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# Act
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response = client.get(f"/api/update?t={content_type}")
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# Assert
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@ -70,7 +70,7 @@ def test_regenerate_with_invalid_content_type(client):
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# ----------------------------------------------------------------------------------------------------
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def test_regenerate_with_valid_content_type(client):
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for content_type in ["org", "markdown", "ledger", "image", "music", "plugin1"]:
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for content_type in ["org", "markdown", "ledger", "image", "music", "pdf", "plugin1"]:
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# Act
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response = client.get(f"/api/update?force=true&t={content_type}")
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# Assert
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