compass.extraction.solar.ordinance.SolarOrdinanceTextCollector

class SolarOrdinanceTextCollector(*args, **kwargs)

Bases: StructuredLLMCaller

Check text chunks for ordinances and collect them if they do

Parameters:

*args, **kwargs – Parameters to pass to the StructuredLLMCaller initializer.

Methods

call(sys_msg, content[, usage_sub_label])	Call LLM for structured data retrieval.
check_chunk(chunk_parser, ind)	Check a chunk at a given ind to see if it contains ordinance

Attributes

CONTAINS_ORD_PROMPT
IS_UTILITY_SCALE_PROMPT
contains_ord_info	Flag indicating whether text contains ordinance info
ordinance_text	Combined ordinance text from the individual chunks

async check_chunk(chunk_parser, ind)

Check a chunk at a given ind to see if it contains ordinance

Parameters:

• chunk_parser (ParseChunksWithMemory) – Instance of ParseChunksWithMemory that contains a parse_from_ind method.

• ind (int) – Index of the chunk to check.

Returns:

bool – Boolean flag indicating whether or not the text in the chunk contains large solar energy farm ordinance text.

property contains_ord_info

Flag indicating whether text contains ordinance info

Type:

bool

property ordinance_text

Combined ordinance text from the individual chunks

Type:

str

async call(sys_msg, content, usage_sub_label=LLMUsageCategory.DEFAULT)

Call LLM for structured data retrieval.

Parameters:

• sys_msg (str) – The LLM system message. If this text does not contain the instruction text “Return your answer as a dictionary in JSON format”, it will be added.

• content (str) – LLM call content (typically some text to extract info from).

• usage_sub_label (str, optional) – Label to store token usage under. By default, "default".

Returns:

dict – Dictionary containing the LLM-extracted features. Dictionary may be empty if there was an error during the LLM call.