refactor to prioritise epc

This commit is contained in:
Khalim Conn-Kowlessar 2024-10-29 15:18:11 +00:00
parent a9ce5b68bb
commit 48369ae150

View file

@ -123,8 +123,10 @@ def extract_summary_report(pdf_path):
secondary_heating_section = re.search(r"Main\s*Heating2\s*(.*?)\s*Water\s*Heating", text, re.DOTALL)
secondary_text = secondary_heating_section.group(1)
main_heating_code_match = re.search(r"Main Heating Code\s*(.*?)(?=\n|Percentage of Heat)", secondary_text)
data["Existing Secondary Heating System"] = main_heating_code_match.group(1).strip()
main_heating_code_match_secondary = re.search(
r"Main Heating Code\s*(.*?)(?=\n|Percentage of Heat)", secondary_text
)
data["Existing Secondary Heating System"] = main_heating_code_match_secondary.group(1).strip()
data["Existing Secondary Heating PCDF Reference"] = re.search(r"PCDF boiler Reference\s*(\d+)",
secondary_text).group(1)
second_heating_controls_match = re.search(r"Main Heating Controls\s*(.*?)\n", secondary_text)
@ -299,11 +301,14 @@ def extract_epr(pdf_path):
else:
secondary_text = secondary_heating_section.group(1)
data["Existing Secondary Heating System"] = re.search(
r"Main Heating Code\s*(.*?)\n", secondary_text
).group(1).strip()
data["Existing Secondary Heating PCDF Reference"] = re.search(r"PCDF boiler Reference\s*(\d+)",
secondary_text).group(1)
main_heating_code_match_secondary = re.search(
r"Main Heating Code\s*(.*?)(?=\n|Percentage of Heat)", secondary_text
)
data["Existing Secondary Heating System"] = main_heating_code_match_secondary.group(1).strip()
data["Existing Secondary Heating PCDF Reference"] = re.search(
r"PCDF boiler Reference\s*(\d+)", secondary_text
).group(1)
if data["Existing Secondary Heating System"] == "":
data["Existing Secondary Heating Controls"] = ""
@ -334,20 +339,57 @@ def extract_epr(pdf_path):
return data
def detect_report_type(pdf_path, pdf_file):
"""
Detects the type of report based on content or filename.
:param pdf_path: String path to the PDF file
:param pdf_file: String name of the PDF file
:return: String type of the report ("epr", "summary", or None)
"""
# Attempt to read the first page of the PDF to determine type
with open(pdf_path, "rb") as file:
reader = PyPDF2.PdfReader(file)
first_page_text = reader.pages[0].extract_text() if reader.pages else ""
if is_energy_report(first_page_text):
return "epr"
elif "summary" in pdf_file.lower() or is_summary_report(first_page_text):
return "summary"
elif is_condition_report(first_page_text):
return "condition"
return None
def extract_retrofit_pdfs(data_folder_path):
"""
Handles extraction from a retrofit data folder if it exists and has content.
Prioritizes extracting data from an EPR if both EPR and summary report are present.
"""
retrofit_files = [f for f in os.listdir(data_folder_path) if f.endswith(".pdf")]
report_types = {"epr": None, "summary": None}
# First, identify the types of reports available
for pdf_file in retrofit_files:
pdf_path = os.path.join(data_folder_path, pdf_file)
extracted = detect_and_parse_report(pdf_path, pdf_file)
if extracted is not None:
return extracted
continue
report_type = detect_report_type(pdf_path, pdf_file)
# If no relevant PDF is found, exit
if report_type == "epr":
report_types["epr"] = pdf_path
elif report_type == "summary":
report_types["summary"] = pdf_path
# Stop checking further if both EPR and summary are found
if report_types["epr"] and report_types["summary"]:
break
# Extract data based on report availability and priority
if report_types["epr"]:
return extract_epr(report_types["epr"])
elif report_types["summary"]:
return extract_summary_report(report_types["summary"])
# If no relevant PDF is found, return None
return None