Read A1111/Forge generation parameters: fix the SELECT and parse multi-line prompts (#165)

* get_image_prompt_info: include gi.parameters in SELECT and return value

The function selects workflow_data, prompt_metadata and generation_time from
generated_images but omits the parameters column, so the A1111/Forge
generation-parameters string (steps, sampler, CFG, seed, LoRA list) never
reaches the API even when present in the database. Add it to the SELECT and
include it in the returned dict.

* parse A1111/Forge parameters: multi-line prompts, structured settings

_parse_comfyui_prompt took lines[0] of the parameters chunk as the whole
positive prompt, truncating every multi-line prompt to its first line, and
matched 'negative prompt:' only as a full line start. Split on the trailing
'Steps: ...' settings line instead, keep the full multi-line positive prompt,
and extract Steps / Sampler / Schedule type / CFG scale / Seed as structured
fields alongside the raw string.

Together with the get_image_prompt_info SELECT fix (previous commit), the
full A1111/Forge generation recipe now flows from the database to the API.

* style: apply black to the A1111 parameters parser

CI's black --check flagged py/api/__init__.py (slice spacing and two long
lines in the settings extraction). Formatting only; the AST is unchanged.

---------

Co-authored-by: kai <kai@hermes.local>

database/operations.py

@@ -1971,12 +1971,13 @@ class PromptDatabase:
         """Look up prompt + image metadata for a given image path.
 
         Returns a dict with prompt_id, text, category, tags, rating, notes,
-        workflow_data, prompt_metadata, generation_time — or None.
+        workflow_data, prompt_metadata, generation_time, parameters — or None.
         """
         with self.model.get_connection() as conn:
             cursor = conn.execute(
                 """SELECT gi.prompt_id, p.text, p.category, p.rating, p.notes,
-                          gi.workflow_data, gi.prompt_metadata, gi.generation_time
+                          gi.workflow_data, gi.prompt_metadata, gi.generation_time,
+                          gi.parameters
                    FROM generated_images gi
                    JOIN prompts p ON gi.prompt_id = p.id
                    WHERE gi.image_path = ? OR gi.file_path = ?
@@ -2009,6 +2010,7 @@ class PromptDatabase:
                 "workflow_data": workflow,
                 "prompt_metadata": prompt_meta,
                 "generation_time": row[7],
+                "parameters": row[8] if len(row) > 8 else None,
             }
 
     def get_prompt_id_for_image(self, image_path: str) -> Optional[int]:

py/api/__init__.py

@@ -703,18 +703,43 @@ class PromptManagerAPI(
             "negative_prompt": None,
         }
 
-        # Check for A1111 style parameters first (like parse-metadata.py)
+        # Check for A1111/Forge style parameters first.
+        # The chunk is one block: a possibly multi-line positive prompt, then a
+        # "Negative prompt:" section, then a trailing "Steps: ..." settings line.
+        # Taking lines[0] as the positive prompt truncates any multi-line prompt
+        # to one line, so split on the settings line instead.
         if "parameters" in metadata:
+            import re as _re
+
             params = metadata["parameters"]
-            lines = params.splitlines()
-            if lines:
-                result["positive_prompt"] = lines[0].strip()
-            for line in lines:
-                if line.lower().startswith("negative prompt:"):
-                    result["negative_prompt"] = line.split(":", 1)[1].strip()
-                    break
+            body = params
+            settings = ""
+            _sm = _re.search(r"\nSteps:\s", body)
+            if _sm:
+                settings = body[_sm.start() + 1 :].strip()
+                body = body[: _sm.start()]
+            negative = None
+            _nm = _re.search(r"(?im)^\s*negative prompt:\s*", body)
+            if _nm:
+                negative = body[_nm.end() :].strip()
+                body = body[: _nm.start()]
+            elif body.lower().lstrip().startswith("negative prompt:"):
+                negative = body.lower().lstrip()[len("negative prompt:") :].strip()
+                body = ""
+            result["positive_prompt"] = body.strip() or None
+            if negative:
+                result["negative_prompt"] = negative
             # Store raw parameters too
             result["parameters"]["parameters"] = params
+            if settings:
+                for _f in ("Steps", "Sampler", "Schedule type", "CFG scale", "Seed"):
+                    _fm = _re.search(
+                        r"(?i)(?:^|,\s*)" + _re.escape(_f) + r":\s*([^,]+)", settings
+                    )
+                    if _fm:
+                        result["parameters"][_f.lower().replace(" ", "_")] = _fm.group(
+                            1
+                        ).strip()
 
         # If no A1111 format found, proceed with ComfyUI parsing
         if result["positive_prompt"] is None: