docs: upd

Author: pikulev

README.md

@@ -28,16 +28,16 @@ pip install hario-core
 from hario_core import parse, Pipeline, by_field, normalize_sizes, flatten
 
 # Parse your HAR file (from path, bytes, or file-like object)
-har_log = parse("example.har")
+model = parse("example.har")
 
 # Build a processing pipeline: deterministic ID, normalization, flattening
 pipeline = Pipeline(
     id_fn=by_field(["request.url", "startedDateTime"]),
     transformers=[normalize_sizes(), flatten()],
 )
 
-results = pipeline.process(har_log)
-for entry in results:
+result_dict = pipeline.process(model)
+for entry in result_dict:
     print(entry["id"], entry["request"]["url"])
 ```
 

docs/api.md

@@ -31,7 +31,7 @@ def parse(
 
 **Example:**
 ```python
-har_log = parse("example.har")
+model = parse("example.har")
 for entry in har_log.entries:
     print(entry.request.url)
 ```
@@ -214,10 +214,10 @@ pipeline = Pipeline(
     transformers=[flatten(), normalize_sizes()],
 )
 
-har_log = parse("example.har")
-results = pipeline.process(har_log)
+model = parse("example.har")
+result_dict = pipeline.process(model)
 
-for entry in results:
+for entry in result_dict:
     print(entry["id"], entry["request"]["url"])
 ```
 

docs/index.md

@@ -33,14 +33,14 @@ A deterministic ID is generated from key fields (like URL and timestamp), so the
 ```python
 from hario_core import parse, Pipeline, by_field, flatten, normalize_sizes
 
-har_log = parse("example.har")
+model = parse("example.har")
 pipeline = Pipeline(
     id_fn=by_field(["request.url", "startedDateTime"]),
     transformers=[flatten(), normalize_sizes()],
 )
-results = pipeline.process(har_log)
+result_dict = pipeline.process(model)
 
-for entry in results:
+for entry in result_dict:
     print(entry["id"], entry["request"]["url"])
 ```