Odoo-Modules/fusion_notes/graphify-out/GRAPH_REPORT.md

Graph Report - /Users/gurpreet/Github/Odoo-Modules/fusion_notes (2026-04-22)

Corpus Check

• 8 files · ~4,943 words
• Verdict: corpus is large enough that graph structure adds value.

Summary

• 48 nodes · 58 edges · 16 communities detected
• Extraction: 91% EXTRACTED · 9% INFERRED · 0% AMBIGUOUS · INFERRED: 5 edges (avg confidence: 0.8)
• Token cost: 0 input · 0 output

Community Hubs (Navigation)

• _COMMUNITY_Community 0
• _COMMUNITY_Community 1
• _COMMUNITY_Community 2
• _COMMUNITY_Community 3
• _COMMUNITY_Community 4
• _COMMUNITY_Community 5
• _COMMUNITY_Community 6
• _COMMUNITY_Community 7
• _COMMUNITY_Community 8
• _COMMUNITY_Community 9
• _COMMUNITY_Community 10
• _COMMUNITY_Community 11
• _COMMUNITY_Community 12
• _COMMUNITY_Community 13
• _COMMUNITY_Community 14
• _COMMUNITY_Community 15

God Nodes (most connected - your core abstractions)

1. AudioRecorder - 9 edges
2. SpeechRecognizer - 5 edges
3. voiceStopRecording() - 5 edges
4. _voiceNotify() - 5 edges
5. voiceStartRecording() - 4 edges
6. voiceCancelNote() - 4 edges
7. _voiceFormatText() - 4 edges
8. voicePostNote() - 3 edges
9. _voiceCleanup() - 3 edges
10. ResConfigSettings - 2 edges

Surprising Connections (you probably didn't know these)

• voiceStopRecording() --calls--> blobToBase64() [INFERRED] /Users/gurpreet/Github/Odoo-Modules/fusion_notes/static/src/js/voice_note_button.js → /Users/gurpreet/Github/Odoo-Modules/fusion_notes/static/src/js/voice_note_service.js

Communities

Community 0 - "Community 0"

Cohesion: 0.28 Nodes (1): AudioRecorder

Community 1 - "Community 1"

Cohesion: 0.33 Nodes (2): blobToBase64(), SpeechRecognizer

Community 2 - "Community 2"

Cohesion: 0.4 Nodes (2): getSettings(), voiceStartRecording()

Community 3 - "Community 3"

Cohesion: 0.33 Nodes (1): FusionNotesController

Community 4 - "Community 4"

Cohesion: 0.67 Nodes (4): _voiceFormatText(), _voiceNotify(), voiceStopRecording(), voiceToggleAiFormat()

Community 5 - "Community 5"

Cohesion: 0.67 Nodes (1): ResConfigSettings

Community 6 - "Community 6"

Cohesion: 0.67 Nodes (2): voiceCancelRecording(), _voiceCleanup()

Community 7 - "Community 7"

Cohesion: 0.67 Nodes (3): toggleComposer(), voiceCancelNote(), voicePostNote()

Community 8 - "Community 8"

Cohesion: 1.0 Nodes (0):

Community 9 - "Community 9"

Cohesion: 1.0 Nodes (0):

Community 10 - "Community 10"

Cohesion: 1.0 Nodes (0):

Community 11 - "Community 11"

Cohesion: 1.0 Nodes (0):

Community 12 - "Community 12"

Cohesion: 1.0 Nodes (1): Return Fusion Notes settings for the frontend.

Community 13 - "Community 13"

Cohesion: 1.0 Nodes (1): Transcribe audio using OpenAI Whisper API. Args: audio_base

Community 14 - "Community 14"

Cohesion: 1.0 Nodes (1): Format transcribed text into a professional note using GPT. Args:

Community 15 - "Community 15"

Cohesion: 1.0 Nodes (1): Post a voice note to the specified record's chatter. Args:

Knowledge Gaps

• 5 isolated node(s): FusionNotesController, Return Fusion Notes settings for the frontend., Transcribe audio using OpenAI Whisper API. Args: audio_base, Format transcribed text into a professional note using GPT. Args:, Post a voice note to the specified record's chatter. Args: These have ≤1 connection - possible missing edges or undocumented components.
• Thin community Community 8 (1 nodes): __init__.py Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 9 (1 nodes): __init__.py Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 10 (1 nodes): __init__.py Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 11 (1 nodes): __manifest__.py Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 12 (1 nodes): Return Fusion Notes settings for the frontend. Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 13 (1 nodes): Transcribe audio using OpenAI Whisper API. Args: audio_base Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 14 (1 nodes): Format transcribed text into a professional note using GPT. Args: Too small to be a meaningful cluster - may be noise or needs more connections extracted.
• Thin community Community 15 (1 nodes): Post a voice note to the specified record's chatter. Args: Too small to be a meaningful cluster - may be noise or needs more connections extracted.

Suggested Questions

Questions this graph is uniquely positioned to answer:

• Why does AudioRecorder connect Community 0 to Community 1? High betweenness centrality (0.137) - this node is a cross-community bridge.
• Why does voiceStopRecording() connect Community 4 to Community 0, Community 1, Community 2? High betweenness centrality (0.102) - this node is a cross-community bridge.
• Why does SpeechRecognizer connect Community 1 to Community 0, Community 6? High betweenness centrality (0.066) - this node is a cross-community bridge.
• Are the 2 inferred relationships involving voiceStopRecording() (e.g. with .stop() and blobToBase64()) actually correct? voiceStopRecording() has 2 INFERRED edges - model-reasoned connections that need verification.
• What connects FusionNotesController, Return Fusion Notes settings for the frontend., Transcribe audio using OpenAI Whisper API. Args: audio_base to the rest of the system? 5 weakly-connected nodes found - possible documentation gaps or missing edges.