khoj/tests/test_markdown_to_entries.py

258 lines
7.6 KiB
Python
Raw Normal View History

import os
from pathlib import Path
from khoj.processor.content.markdown.markdown_to_entries import MarkdownToEntries
from khoj.utils.fs_syncer import get_markdown_files
from khoj.utils.rawconfig import TextContentConfig
def test_extract_markdown_with_no_headings(tmp_path):
"Convert markdown file with no heading to entry format."
# Arrange
entry = f"""
- Bullet point 1
- Bullet point 2
"""
data = {
f"{tmp_path}": entry,
}
expected_heading = f"# {tmp_path}"
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=3)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 1
# Ensure raw entry with no headings do not get heading prefix prepended
assert not entries[1][0].raw.startswith("#")
# Ensure compiled entry has filename prepended as top level heading
assert entries[1][0].compiled.startswith(expected_heading)
Part 2: Add web UI updates for basic agent interactions (#675) * Initial pass at backend changes to support agents - Add a db model for Agents, attaching them to conversations - When an agent is added to a conversation, override the system prompt to tweak the instructions - Agents can be configured with prompt modification, model specification, a profile picture, and other things - Admin-configured models will not be editable by individual users - Add unit tests to verify agent behavior. Unit tests demonstrate imperfect adherence to prompt specifications * Customize default behaviors for conversations without agents or with default agents * Add a new web client route for viewing all agents * Use agent_id for getting correct agent * Add web UI views for agents - Add a page to view all agents - Add slugs to manage agents - Add a view to view single agent - Display active agent when in chat window - Fix post-login redirect issue * Fix agent view * Spruce up the 404 page and improve the overall layout for agents pages * Create chat actor for directly reading webpages based on user message - Add prompt for the read webpages chat actor to extract, infer webpage links - Make chat actor infer or extract webpage to read directly from user message - Rename previous read_webpage function to more narrow read_webpage_at_url function * Rename agents_page -> agent_page * Fix unit test for adding the filename to the compiled markdown entry * Fix layout of agent, agents pages * Merge migrations * Let the name, slug of the default agent be Khoj, khoj * Fix chat-related unit tests * Add webpage chat command for read web pages requested by user Update auto chat command inference prompt to show example of when to use webpage chat command (i.e when url is directly provided in link) * Support webpage command in chat API - Fallback to use webpage when SERPER not setup and online command was attempted - Do not stop responding if can't retrieve online results. Try to respond without the online context * Test select webpage as data source and extract web urls chat actors * Tweak prompts to extract information from webpages, online results - Show more of the truncated messages for debugging context - Update Khoj personality prompt to encourage it to remember it's capabilities * Rename extract_content online results field to webpages * Parallelize simple webpage read and extractor Similar to what is being done with search_online with olostep * Pass multiple webpages with their urls in online results context Previously even if MAX_WEBPAGES_TO_READ was > 1, only 1 extracted content would ever be passed. URL of the extracted webpage content wasn't passed to clients in online results context. This limited them from being rendered * Render webpage read in chat response references on Web, Desktop apps * Time chat actor responses & chat api request start for perf analysis * Increase the keep alive timeout in the main application for testing * Do not pipe access/error logs to separate files. Flow to stdout/stderr * [Temp] Reduce to 1 gunicorn worker * Change prod docker image to use jammy, rather than nvidia base image * Use Khoj icon when Khoj web is installed on iOS as a PWA * Make slug required for agents * Simplify calling logic and prevent agent access for unauthenticated users * Standardize to use personality over tuning in agent nomenclature * Make filtering logic more stringent for accessible agents and remove unused method: * Format chat message query --------- Co-authored-by: Debanjum Singh Solanky <debanjum@gmail.com>
2024-03-26 12:43:24 +00:00
# Ensure compiled entry also includes the file name
assert str(tmp_path) in entries[1][0].compiled
def test_extract_single_markdown_entry(tmp_path):
"Convert markdown from single file to entry format."
# Arrange
entry = f"""### Heading
\t\r
Body Line 1
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=3)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 1
def test_extract_multiple_markdown_entries(tmp_path):
"Convert multiple markdown from single file to entry format."
# Arrange
entry = f"""
### Heading 1
\t\r
Heading 1 Body Line 1
### Heading 2
\t\r
Heading 2 Body Line 2
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=3)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 2
# Ensure entry compiled strings include the markdown files they originate from
assert all([tmp_path.stem in entry.compiled for entry in entries[1]])
def test_extract_entries_with_different_level_headings(tmp_path):
"Extract markdown entries with different level headings."
# Arrange
entry = f"""
# Heading 1
## Sub-Heading 1.1
# Heading 2
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=3)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 2
assert entries[1][0].raw == "# Heading 1\n## Sub-Heading 1.1", "Ensure entry includes heading ancestory"
assert entries[1][1].raw == "# Heading 2\n"
def test_extract_entries_with_non_incremental_heading_levels(tmp_path):
"Extract markdown entries when deeper child level before shallower child level."
# Arrange
entry = f"""
# Heading 1
#### Sub-Heading 1.1
## Sub-Heading 1.2
# Heading 2
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=3)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 3
assert entries[1][0].raw == "# Heading 1\n#### Sub-Heading 1.1", "Ensure entry includes heading ancestory"
assert entries[1][1].raw == "# Heading 1\n## Sub-Heading 1.2", "Ensure entry includes heading ancestory"
assert entries[1][2].raw == "# Heading 2\n"
def test_extract_entries_with_text_before_headings(tmp_path):
"Extract markdown entries with some text before any headings."
# Arrange
entry = f"""
Text before headings
# Heading 1
body line 1
## Heading 2
body line 2
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=3)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 3
assert entries[1][0].raw == "\nText before headings"
assert entries[1][1].raw == "# Heading 1\nbody line 1"
assert (
entries[1][2].raw == "# Heading 1\n## Heading 2\nbody line 2\n"
), "Ensure raw entry includes heading ancestory"
def test_parse_markdown_file_into_single_entry_if_small(tmp_path):
"Parse markdown file into single entry if it fits within the token limits."
# Arrange
entry = f"""
# Heading 1
body line 1
## Subheading 1.1
body line 1.1
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=12)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 1
assert entries[1][0].raw == entry
def test_parse_markdown_entry_with_children_as_single_entry_if_small(tmp_path):
"Parse markdown entry with child headings as single entry if it fits within the tokens limits."
# Arrange
entry = f"""
# Heading 1
body line 1
## Subheading 1.1
body line 1.1
# Heading 2
body line 2
## Subheading 2.1
longer body line 2.1
"""
data = {
f"{tmp_path}": entry,
}
# Act
# Extract Entries from specified Markdown files
entries = MarkdownToEntries.extract_markdown_entries(markdown_files=data, max_tokens=12)
# Assert
assert len(entries) == 2
assert len(entries[1]) == 3
assert (
entries[1][0].raw == "# Heading 1\nbody line 1\n## Subheading 1.1\nbody line 1.1"
), "First entry includes children headings"
assert entries[1][1].raw == "# Heading 2\nbody line 2", "Second entry does not include children headings"
assert (
entries[1][2].raw == "# Heading 2\n## Subheading 2.1\nlonger body line 2.1\n"
), "Third entry is second entries child heading"
def test_get_markdown_files(tmp_path):
"Ensure Markdown files specified via input-filter, input-files extracted"
# Arrange
# Include via input-filter globs
group1_file1 = create_file(tmp_path, filename="group1-file1.md")
group1_file2 = create_file(tmp_path, filename="group1-file2.md")
group2_file1 = create_file(tmp_path, filename="group2-file1.markdown")
group2_file2 = create_file(tmp_path, filename="group2-file2.markdown")
# Include via input-file field
file1 = create_file(tmp_path, filename="notes.md")
# Not included by any filter
create_file(tmp_path, filename="not-included-markdown.md")
create_file(tmp_path, filename="not-included-text.txt")
expected_files = set(
[os.path.join(tmp_path, file.name) for file in [group1_file1, group1_file2, group2_file1, group2_file2, file1]]
)
# Setup input-files, input-filters
input_files = [tmp_path / "notes.md"]
input_filter = [tmp_path / "group1*.md", tmp_path / "group2*.markdown"]
markdown_config = TextContentConfig(
input_files=input_files,
input_filter=[str(filter) for filter in input_filter],
compressed_jsonl=tmp_path / "test.jsonl",
embeddings_file=tmp_path / "test_embeddings.jsonl",
)
# Act
extracted_org_files = get_markdown_files(markdown_config)
# Assert
assert len(extracted_org_files) == 5
assert set(extracted_org_files.keys()) == expected_files
# Helper Functions
def create_file(tmp_path: Path, entry=None, filename="test.md"):
markdown_file = tmp_path / filename
markdown_file.touch()
if entry:
markdown_file.write_text(entry)
return markdown_file