144 lines
6.1 KiB
Markdown
144 lines
6.1 KiB
Markdown
# Graph Report - /Users/gurpreet/Github/Odoo-Modules/fusion_notes (2026-04-22)
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## Corpus Check
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- 8 files · ~4,943 words
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- Verdict: corpus is large enough that graph structure adds value.
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## Summary
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- 48 nodes · 58 edges · 16 communities detected
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- Extraction: 91% EXTRACTED · 9% INFERRED · 0% AMBIGUOUS · INFERRED: 5 edges (avg confidence: 0.8)
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- Token cost: 0 input · 0 output
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## Community Hubs (Navigation)
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- [[_COMMUNITY_Community 0|Community 0]]
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- [[_COMMUNITY_Community 1|Community 1]]
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- [[_COMMUNITY_Community 2|Community 2]]
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- [[_COMMUNITY_Community 3|Community 3]]
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- [[_COMMUNITY_Community 4|Community 4]]
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- [[_COMMUNITY_Community 5|Community 5]]
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- [[_COMMUNITY_Community 6|Community 6]]
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- [[_COMMUNITY_Community 7|Community 7]]
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- [[_COMMUNITY_Community 8|Community 8]]
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- [[_COMMUNITY_Community 9|Community 9]]
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- [[_COMMUNITY_Community 10|Community 10]]
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- [[_COMMUNITY_Community 11|Community 11]]
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- [[_COMMUNITY_Community 12|Community 12]]
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- [[_COMMUNITY_Community 13|Community 13]]
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- [[_COMMUNITY_Community 14|Community 14]]
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- [[_COMMUNITY_Community 15|Community 15]]
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## God Nodes (most connected - your core abstractions)
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1. `AudioRecorder` - 9 edges
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2. `SpeechRecognizer` - 5 edges
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3. `voiceStopRecording()` - 5 edges
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4. `_voiceNotify()` - 5 edges
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5. `voiceStartRecording()` - 4 edges
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6. `voiceCancelNote()` - 4 edges
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7. `_voiceFormatText()` - 4 edges
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8. `voicePostNote()` - 3 edges
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9. `_voiceCleanup()` - 3 edges
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10. `ResConfigSettings` - 2 edges
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## Surprising Connections (you probably didn't know these)
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- `voiceStopRecording()` --calls--> `blobToBase64()` [INFERRED]
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/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
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## Communities
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### Community 0 - "Community 0"
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Cohesion: 0.28
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Nodes (1): AudioRecorder
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### Community 1 - "Community 1"
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Cohesion: 0.33
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Nodes (2): blobToBase64(), SpeechRecognizer
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### Community 2 - "Community 2"
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Cohesion: 0.4
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Nodes (2): getSettings(), voiceStartRecording()
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### Community 3 - "Community 3"
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Cohesion: 0.33
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Nodes (1): FusionNotesController
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### Community 4 - "Community 4"
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Cohesion: 0.67
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Nodes (4): _voiceFormatText(), _voiceNotify(), voiceStopRecording(), voiceToggleAiFormat()
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### Community 5 - "Community 5"
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Cohesion: 0.67
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Nodes (1): ResConfigSettings
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### Community 6 - "Community 6"
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Cohesion: 0.67
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Nodes (2): voiceCancelRecording(), _voiceCleanup()
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### Community 7 - "Community 7"
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Cohesion: 0.67
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Nodes (3): toggleComposer(), voiceCancelNote(), voicePostNote()
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### Community 8 - "Community 8"
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Cohesion: 1.0
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Nodes (0):
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### Community 9 - "Community 9"
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Cohesion: 1.0
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Nodes (0):
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### Community 10 - "Community 10"
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Cohesion: 1.0
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Nodes (0):
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### Community 11 - "Community 11"
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Cohesion: 1.0
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Nodes (0):
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### Community 12 - "Community 12"
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Cohesion: 1.0
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Nodes (1): Return Fusion Notes settings for the frontend.
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### Community 13 - "Community 13"
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Cohesion: 1.0
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Nodes (1): Transcribe audio using OpenAI Whisper API. Args: audio_base
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### Community 14 - "Community 14"
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Cohesion: 1.0
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Nodes (1): Format transcribed text into a professional note using GPT. Args:
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### Community 15 - "Community 15"
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Cohesion: 1.0
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Nodes (1): Post a voice note to the specified record's chatter. Args:
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## Knowledge Gaps
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- **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:`
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These have ≤1 connection - possible missing edges or undocumented components.
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- **Thin community `Community 8`** (1 nodes): `__init__.py`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 9`** (1 nodes): `__init__.py`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 10`** (1 nodes): `__init__.py`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 11`** (1 nodes): `__manifest__.py`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 12`** (1 nodes): `Return Fusion Notes settings for the frontend.`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 13`** (1 nodes): `Transcribe audio using OpenAI Whisper API. Args: audio_base`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 14`** (1 nodes): `Format transcribed text into a professional note using GPT. Args:`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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- **Thin community `Community 15`** (1 nodes): `Post a voice note to the specified record's chatter. Args:`
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Too small to be a meaningful cluster - may be noise or needs more connections extracted.
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## Suggested Questions
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_Questions this graph is uniquely positioned to answer:_
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- **Why does `AudioRecorder` connect `Community 0` to `Community 1`?**
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_High betweenness centrality (0.137) - this node is a cross-community bridge._
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- **Why does `voiceStopRecording()` connect `Community 4` to `Community 0`, `Community 1`, `Community 2`?**
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_High betweenness centrality (0.102) - this node is a cross-community bridge._
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- **Why does `SpeechRecognizer` connect `Community 1` to `Community 0`, `Community 6`?**
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_High betweenness centrality (0.066) - this node is a cross-community bridge._
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- **Are the 2 inferred relationships involving `voiceStopRecording()` (e.g. with `.stop()` and `blobToBase64()`) actually correct?**
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_`voiceStopRecording()` has 2 INFERRED edges - model-reasoned connections that need verification._
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- **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?**
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_5 weakly-connected nodes found - possible documentation gaps or missing edges._ |