4b0914b12b
Auto-mode commit 7aa33cd accidentally deleted 78 files (14,814 lines) during M005
execution. Subsequent commits rebuilt some frontend files but backend/, alembic/,
tests/, whisper/, docker configs, and prompts were never restored in this repo.
This commit restores the full project tree by syncing from ub01's working directory,
which has all M001-M007 features running in production containers.
Restored: backend/ (config, models, routers, database, redis, search_service, worker),
alembic/ (6 migrations), docker/ (Dockerfiles, nginx, compose), prompts/ (4 stages),
tests/, whisper/, README.md, .env.example, chrysopedia-spec.md
111 lines
4.4 KiB
Python
111 lines
4.4 KiB
Python
"""Mock LLM and embedding responses for pipeline integration tests.
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Each response is a JSON string matching the Pydantic schema for that stage.
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The sample transcript has 5 segments about gain staging, so mock responses
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reflect that content.
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"""
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import json
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import random
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# ── Stage 2: Segmentation ───────────────────────────────────────────────────
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STAGE2_SEGMENTATION_RESPONSE = json.dumps({
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"segments": [
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{
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"start_index": 0,
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"end_index": 1,
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"topic_label": "Introduction",
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"summary": "Introduces the episode about mixing basics and gain staging.",
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},
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{
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"start_index": 2,
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"end_index": 4,
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"topic_label": "Gain Staging Technique",
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"summary": "Covers practical steps for gain staging including setting levels and avoiding clipping.",
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},
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]
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})
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# ── Stage 3: Extraction ─────────────────────────────────────────────────────
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STAGE3_EXTRACTION_RESPONSE = json.dumps({
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"moments": [
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{
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"title": "Setting Levels for Gain Staging",
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"summary": "Demonstrates the process of setting proper gain levels across the signal chain to maintain headroom.",
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"start_time": 12.8,
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"end_time": 28.5,
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"content_type": "technique",
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"plugins": ["Pro-Q 3"],
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"raw_transcript": "First thing you want to do is set your levels. Make sure nothing is clipping on the master bus.",
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},
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{
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"title": "Master Bus Clipping Prevention",
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"summary": "Explains how to monitor and prevent clipping on the master bus during a mix session.",
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"start_time": 20.1,
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"end_time": 35.0,
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"content_type": "settings",
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"plugins": [],
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"raw_transcript": "Make sure nothing is clipping on the master bus. That wraps up this quick overview.",
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},
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]
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})
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# ── Stage 4: Classification ─────────────────────────────────────────────────
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STAGE4_CLASSIFICATION_RESPONSE = json.dumps({
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"classifications": [
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{
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"moment_index": 0,
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"topic_category": "Mixing",
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"topic_tags": ["gain staging", "eq"],
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"content_type_override": None,
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},
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{
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"moment_index": 1,
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"topic_category": "Mixing",
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"topic_tags": ["gain staging", "bus processing"],
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"content_type_override": None,
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},
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]
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})
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# ── Stage 5: Synthesis ───────────────────────────────────────────────────────
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STAGE5_SYNTHESIS_RESPONSE = json.dumps({
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"pages": [
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{
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"title": "Gain Staging in Mixing",
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"slug": "gain-staging-in-mixing",
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"topic_category": "Mixing",
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"topic_tags": ["gain staging"],
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"summary": "A comprehensive guide to gain staging in a mixing context, covering level setting and master bus management.",
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"body_sections": {
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"Overview": "Gain staging ensures each stage of the signal chain operates at optimal levels.",
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"Steps": "1. Set input levels. 2. Check bus levels. 3. Monitor master output.",
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},
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"signal_chains": [
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{"chain": "Input -> Channel Strip -> Bus -> Master", "notes": "Keep headroom at each stage."}
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],
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"plugins": ["Pro-Q 3"],
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"source_quality": "structured",
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}
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]
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})
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# ── Embedding response ───────────────────────────────────────────────────────
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def make_mock_embedding(dim: int = 768) -> list[float]:
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"""Generate a deterministic-seeded mock embedding vector."""
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rng = random.Random(42)
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return [rng.uniform(-1, 1) for _ in range(dim)]
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def make_mock_embeddings(n: int, dim: int = 768) -> list[list[float]]:
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"""Generate n distinct mock embedding vectors."""
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return [
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[random.Random(42 + i).uniform(-1, 1) for _ in range(dim)]
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for i in range(n)
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]
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