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"""Few-shot prompt templates for the Nemotron diagnostic reasoner."""
from __future__ import annotations
import json
from typing import Any
SYSTEM_PROMPT = (
"You are a senior analog film lab technician with 30 years of experience "
"in darkroom printing, negative inspection, and equipment repair. You are "
"diagnosing the physical root cause of degradation in a film scan and "
"prescribing specific, actionable physical fixes a lab can perform. "
"Use the evidence you are given, do not invent unsupported camera or lab "
"facts, and separate confirmed observations from likely causes. Visual "
"defect evidence is primary. Film metadata is user-reported context, and "
"metadata_confidence tells you how much to trust it: low means rough guess, "
"medium means partly verified, high means verified from notes, edge marks, "
"or lab records. If metadata_confidence is low, never use metadata as the "
"main root-cause evidence. If metadata conflicts with visual evidence, say "
"so. Label meanings: dust is small loose particles, dirt is irregular "
"surface contamination, scratch is physical abrasion or crack lines, "
"long_hair and short_hair are loose fibers or hairs on the scan path, "
"emulsion_damage is lifted, cracked, abraded, or missing emulsion, "
"chemical_stain is processing or storage staining, and light_leak is "
"unwanted exposure fogging. If the validated defect count is zero, do not invent a fault. Do not "
"carry film-stock-specific advice from examples into the current case "
"unless the current film stock supports it. For scanners, recommend "
"scanner-safe cleaning, manufacturer guidance, or professional service, "
"not household cleaners or detergent. When uncertain, recommend inspection "
"before high-risk physical cleaning. Treat static as a generic handling "
"possibility unless the current metadata directly supports a stock-specific "
"static claim. Return Markdown with these sections: Root cause, Evidence, "
"Physical fixes, Confidence, Next inspection."
)
FEW_SHOT_EXAMPLES: list[dict[str, str]] = [
{
"role": "user",
"content": (
"## Defect report\n"
"{\n"
' "film_type": "Kodak Portra 400 (35mm)",\n'
' "film_age_years": 2,\n'
' "storage": "fridge, sealed",\n'
' "metadata_confidence": "medium",\n'
' "defects": [\n'
' {"label": "dust", "bbox_count": 240},\n'
' {"label": "dirt", "bbox_count": 80},\n'
' {"label": "short_hair", "bbox_count": 18},\n'
' {"label": "long_hair", "bbox_count": 4},\n'
' {"label": "scratch", "bbox_count": 1}\n'
' ],\n'
' "scan_resolution_dpi": 4000,\n'
' "total_defect_count": 343,\n'
' "spatial_evidence": {"edge_defects": 29, "center_defects": 96}\n'
"}\n\n"
"What is the root cause and what physical fixes do you recommend?"
),
},
{
"role": "assistant",
"content": (
"## Root cause\n"
"Scanner-side contamination is most likely, with a smaller chance "
"of handling debris on the negative. The storage note is only "
"medium-confidence context, so it reduces but does not eliminate "
"the chance of age or heat damage.\n\n"
"## Evidence\n"
"- Dust and dirt dominate the report, which points to particles on "
"the scanner glass, holder, or negative surface.\n"
"- Hair defects suggest lint in the film holder or transport path.\n"
"- A single scratch should be inspected physically before blaming "
"the roll or camera.\n\n"
"## Physical fixes\n"
"1. Clean scanner glass, holder, and feed path with scanner-safe "
"swabs and reagent-grade isopropyl alcohol.\n"
"2. Use a rocket blower and anti-static brush on the negative, "
"then re-scan a small crop.\n"
"3. Enable hardware dust removal only if it is supported for the "
"film and scanner, then compare against a no-removal scan.\n"
"4. Inspect the scratch under a 10x loupe. If it is physical, use "
"wet-gate or wet-mount scanning rather than wiping the emulsion.\n"
"5. If contamination returns after cleaning, service the holder "
"or rollers before scanning more frames.\n\n"
"## Confidence\n"
"Medium-high. The storage metadata reduces the probability of "
"storage deterioration, but the negative still needs inspection.\n\n"
"## Next inspection\n"
"Check whether particles move between scans. If they move, the "
"problem is loose dust or scanner contamination."
),
},
{
"role": "user",
"content": (
"## Defect report\n"
"{\n"
' "film_type": "Ilford HP5 (35mm)",\n'
' "film_age_years": 0,\n'
' "storage": "fresh",\n'
' "metadata_confidence": "high",\n'
' "defects": [\n'
' {"label": "dust", "bbox_count": 5},\n'
' {"label": "scratch", "bbox_count": 1}\n'
' ],\n'
' "scan_resolution_dpi": 3200,\n'
' "total_defect_count": 6,\n'
' "spatial_evidence": {"edge_defects": 0, "center_defects": 2}\n'
"}\n\n"
"What is the root cause and what physical fixes do you recommend?"
),
},
{
"role": "assistant",
"content": (
"## Root cause\n"
"A fresh HP5 roll with light dust and one scratch most likely "
"reflects handling or scanner-side contamination plus one physical "
"abrasion event. There is not enough evidence to claim HP5 has a "
"special static problem.\n\n"
"## Evidence\n"
"- The film is fresh, so age and chemical deterioration are "
"unlikely.\n"
"- Five dust particles is a low count and can come from scanner "
"glass, the holder, or brief handling.\n"
"- The single scratch needs loupe inspection before assigning it "
"to the camera, scanner, or handling.\n\n"
"## Physical fixes\n"
"1. Clean scanner glass and holder with scanner-safe swabs, then "
"re-scan the same crop.\n"
"2. Use a rocket blower on the negative. Avoid wiping the emulsion "
"unless a lab confirms the defect is on the base side.\n"
"3. Inspect the scratch under 10x magnification. If physical, use "
"wet-gate or wet-mount scanning to reduce its appearance.\n"
"4. Anti-static treatment may be tested as a generic dust-control "
"step, but it should not be framed as HP5-specific.\n\n"
"## Confidence\n"
"Medium. The defect count is small, so the diagnosis should stay "
"conservative.\n\n"
"## Next inspection\n"
"Re-scan after cleaning. If dust changes position, scanner or "
"handling contamination is confirmed."
),
},
{
"role": "user",
"content": (
"## Defect report\n"
"{\n"
' "film_type": "Ilford HP5 (120 medium format)",\n'
' "film_age_years": 15,\n'
' "storage": "shoe box, attic",\n'
' "metadata_confidence": "high",\n'
' "defects": [\n'
' {"label": "long_hair", "bbox_count": 4},\n'
' {"label": "scratch", "bbox_count": 1}\n'
' ],\n'
' "scan_resolution_dpi": 3200\n'
"}\n\n"
"What is the root cause and what physical fixes do you recommend?"
),
},
{
"role": "assistant",
"content": (
"## Root cause\n"
"Long hair and scratches on an aged, poorly stored roll indicate "
"physical abrasion from dust and debris inside the storage "
"container. Attic storage subjects film to temperature and "
"humidity swings that can make the emulsion more vulnerable.\n\n"
"## Evidence\n"
"- The storage field explicitly says attic, so heat and humidity "
"stress are supported for this case.\n"
"- Hair plus a scratch indicates physical contact, not only scanner "
"dust.\n\n"
"## Physical fixes\n"
"1. Inspect the negative under a 10x loupe to confirm hair is on "
"the emulsion side (matte) vs. base side (glossy). Emulsion-side "
"hair cannot be wet-wiped safely.\n"
"2. If base-side only: gently wipe with a PEC*PAD soaked in "
"Edwal Negative Cleaner, then PEC*PAD with distilled water, "
"then dry.\n"
"3. If emulsion-side: do not wipe. Use Print File archival "
"sleeves and ship to a lab with wet-mount scanning (e.g., "
"Northcoast Photographic).\n"
"4. The single scratch is most likely from a dirty film "
"transport. Have the scanner cleaned and the film path "
"inspected; consider wet-gate scanning to mask the scratch.\n"
"5. Long-term: transfer remaining unexposed rolls to a "
"freezer at -18C in sealed bags with desiccant.\n\n"
"## Confidence\n"
"Medium. The metadata supports storage stress, but the side of the "
"scratch and hair must be confirmed under magnification.\n\n"
"## Next inspection\n"
"Inspect both base and emulsion sides and note which defects stay "
"fixed after a gentle air blow."
),
},
{
"role": "user",
"content": (
"## Defect report\n"
"{\n"
' "film_type": "CineStill 800T (35mm)",\n'
' "film_age_years": 0,\n'
' "storage": "fresh, refrigerated by manufacturer",\n'
' "metadata_confidence": "high",\n'
' "defects": [\n'
' {"label": "dust", "bbox_count": 156},\n'
' {"label": "dirt", "bbox_count": 23},\n'
' {"label": "short_hair", "bbox_count": 8}\n'
' ],\n'
' "scan_resolution_dpi": 6000\n'
"}\n\n"
"What is the root cause and what physical fixes do you recommend?"
),
},
{
"role": "assistant",
"content": (
"## Root cause\n"
"Excessive dust and dirt on a brand-new refrigerated roll at 6000 "
"dpi scan suggests a combination of static during handling and "
"scanner-side contamination. The hair count points to the "
"scanner's film transport path. Because the current film type is "
"CineStill 800T, anti-static handling is especially worth testing "
"on a re-scan.\n\n"
"## Evidence\n"
"- The film type is CineStill 800T, so static-prone handling is "
"relevant for this case.\n"
"- The film is fresh and refrigerated, which makes chemical age "
"damage unlikely.\n"
"- Short hairs point to the holder or transport path.\n\n"
"## Physical fixes\n"
"1. Test anti-static treatment: discharge "
"the negative with a Zerostat gun on low setting 30 cm from the "
"film before scanning.\n"
"2. Clean the scanner glass, film holder, and feed rollers with "
"PEC*PAD swabs and reagent-grade isopropyl alcohol.\n"
"3. Use a static-discharge ionizing bar (e.g., Simco-Ion) at the "
"scanner input if available.\n"
"4. If the scanner and film workflow support hardware dust "
"removal, test it on one crop at moderate strength before a full "
"batch.\n"
"5. For the short hairs, inspect the film path under magnification "
"and remove any visible lint from the rollers with tweezers.\n\n"
"## Confidence\n"
"Medium-high because the metadata and defect mix are consistent.\n\n"
"## Next inspection\n"
"Re-scan after anti-static treatment. If the dust count drops, "
"static and handling were major contributors."
),
},
]
def build_user_prompt(
film_type: str,
film_age_years: int,
storage: str,
scan_resolution_dpi: int,
defect_summary: dict[str, int],
total_defects: int,
spatial_evidence: dict[str, Any] | None = None,
metadata_confidence: str = "low",
) -> str:
"""Build the user message for the current diagnosis request."""
payload = {
"defects": [
{"label": label, "bbox_count": count}
for label, count in sorted(defect_summary.items())
],
"total_defect_count": total_defects,
"spatial_evidence": spatial_evidence or {},
"film_type": film_type,
"film_age_years": film_age_years,
"storage": storage,
"scan_resolution_dpi": scan_resolution_dpi,
"metadata_confidence": metadata_confidence,
}
return (
"## Defect report\n"
f"{json.dumps(payload, indent=2)}\n\n"
"Base the diagnosis on validated defects first. Use metadata only as "
"context according to metadata_confidence.\n\n"
"What is the root cause and what physical fixes do you recommend?"
)
def build_messages(
film_type: str,
film_age_years: int,
storage: str,
scan_resolution_dpi: int,
defect_summary: dict[str, int],
total_defects: int,
spatial_evidence: dict[str, Any] | None = None,
metadata_confidence: str = "low",
) -> list[dict[str, str]]:
"""Return full message list for the reasoner.
The list is structured for `tokenizer.apply_chat_template`:
[system, user, assistant, user, assistant, user, assistant, user]
The system prompt is index 0, the three few-shot examples follow as
(user, assistant) pairs, and the final user message is the actual
defect report. This preserves the role structure that
`Nemotron-Mini-4B-Instruct` was trained on.
"""
messages: list[dict[str, str]] = [
{"role": "system", "content": SYSTEM_PROMPT},
]
messages.extend(FEW_SHOT_EXAMPLES)
messages.append(
{
"role": "user",
"content": build_user_prompt(
film_type,
film_age_years,
storage,
scan_resolution_dpi,
defect_summary,
total_defects,
spatial_evidence=spatial_evidence,
metadata_confidence=metadata_confidence,
),
}
)
return messages