def parse_filing(filepath):
"""
Parses html file
:param filepath: html file
:return: dictionary of file_contents including lxml_dict
"""
# complete_submission_filing_filepath = filing[0]
lxml_dict = {}
try:
# or codecs.open on Python 2
raw_text = open(filepath, "rb").read()
result = chardet.detect(raw_text)
charenc = result['encoding']
raw_text = raw_text.decode(charenc)
except:
charenc = ""
with io.open(filepath, "rb") as f:
raw_text = f.read()
lxml_html = lxml.html.fromstring(raw_text)
root = lxml_html.getroottree()
soup = BeautifulSoup(lxml.html.tostring(root), 'lxml')
file_metadata = {}
file_metadata['FILEPATH'] = filepath
for ii, element in enumerate(root.xpath("//*/body/*")):
lxml_dict[ii] = element
div_check = {}
for ii, element in enumerate(
lxml.html.fromstring(soup.prettify()).xpath("//*/div/*")):
div_check[ii] = element
file_metadata['NUMBER_OF_ELEMENTS'] = len(lxml_dict)
file_metadata['FILE_SIZE'] = file_size(file_metadata['FILEPATH'])
file_metadata['FILE_SIZE_BYTES'] = os.stat(
file_metadata['FILEPATH']).st_size
file_metadata['lxml_dict'] = lxml_dict
file_metadata['div_check'] = div_check
file_metadata['ENCODING'] = charenc
return file_metadata
def _load(self, filing_filepath=None, lxml_root=True, file_stats=True):
if self.is_loaded:
return
if not filing_filepath:
filing_filepath = self.filing_filepath
try:
# or codecs.open on Python 2
filing_text = open(filing_filepath, "rb").read()
result = chardet.detect(filing_text)
if result:
self.charenc = result['encoding']
with io.open(filing_filepath, "r", encoding=self.charenc) as f:
self.filing_text = f.read()
self.is_loaded = True
logger.info(f"Filing Loaded")
except:
with io.open(filing_filepath, "rb") as f:
self.filing_text = f.read()
if lxml_root:
lxml_html = lxml.html.fromstring(self.filing_text)
self.lxml_root = lxml_html.getroottree()
self.is_lxml_root = True
logger.info(f"Filing Lxml")
if file_stats:
self.FILE_SIZE = file_size(self.filing_filepath)
self.FILE_SIZE_BYTES = os.stat(self.filing_filepath).st_size
self.ENCODING = self.charenc
def _process_filing(self, raw_text, save_output=False):
"""
Given a filepath
:param filepath:
:param output_directory:
:return:
"""
elements_list = [('FILENAME', './/filename'), ('TYPE', './/type'),
('SEQUENCE', './/sequence'),
('DESCRIPTION', './/description')]
xbrl_doc = re.compile(r'<DOCUMENT>(.*?)</DOCUMENT>', re.DOTALL)
xbrl_text = re.compile(r'<(TEXT|text)>(.*?)</(TEXT|text)>',
re.MULTILINE | re.DOTALL)
documents = xbrl_doc.findall(raw_text)
filing_documents = {}
for i, document in enumerate(documents, start=1):
uue_filepath = None
filing_document = {}
lxml_html = lxml.html.fromstring(document)
root = lxml_html.getroottree()
for (element, element_path) in elements_list:
try:
filing_document[f"{element}"] = root.xpath(
f"{element_path}")[0].text.strip()
except:
filing_document[f"{element}"] = ""
raw_text = xbrl_text.findall(document)
raw_text = raw_text[0][1].replace("<XBRL>",
"").replace("</XBRL>",
"").strip()
raw_text = raw_text.replace("<XML>", "").replace("</XML>",
"").strip()
if raw_text.lower().startswith(
"begin") or document.lower().startswith("begin"):
uue_filepath = os.path.join(
self.filing_folder, filing_document['FILENAME'] + ".uue")
output_filepath = os.path.join(
self.filing_folder, uue_filepath.replace(".uue", ""))
output_filename = os.path.basename(output_filepath)
if save_output:
with open(uue_filepath, 'w', encoding=self.charenc) as f:
f.write(raw_text)
uudecode(uue_filepath, out_file=output_filepath)
else:
doc_num = f"{int(filing_document['SEQUENCE'])}".zfill(4)
try:
output_filename = f"{doc_num}-({filing_document['TYPE']}) {filing_document['DESCRIPTION']} {filing_document['FILENAME']}"
except:
output_filename = f"{doc_num}-({filing_document['TYPE']}) {filing_document['FILENAME']}".replace(
" ", "_").replace(":", "").replace("__", "_")
output_filename = output_filename.replace(" ", "_").replace(
":", "").replace("__", "_")
output_filename = format_filename(output_filename)
output_filepath = os.path.join(self.filing_folder,
output_filename)
if save_output:
with open(output_filepath, 'w',
encoding=self.charenc) as f:
f.write(raw_text)
filing_document['RELATIVE_FILEPATH'] = os.path.join(
os.path.basename(self.filing_folder), output_filepath)
filing_document['DESCRIPTIVE_FILEPATH'] = output_filename
if save_output:
filing_document['FILE_SIZE'] = file_size(output_filepath)
filing_document['FILE_SIZE_BYTES'] = os.stat(
output_filepath).st_size
filing_documents[i] = filing_document
if uue_filepath and os.path.exists(uue_filepath):
os.remove(uue_filepath)
df_sec_filing_contents = pd.DataFrame.from_dict(filing_documents,
orient='index')
if save_output:
df_sec_filing_contents.to_csv(
os.path.join(
self.filing_folder,
f"{os.path.basename(self.filing_folder)}_FILING_CONTENTS.csv"
))
logger.info(df_sec_filing_contents)
self.is_processed = True
self.df_sec_filing_contents = df_sec_filing_contents
def complete_submission_filing(filepath, output_directory=None):
"""
Given a filepath
:param filepath:
:param output_directory:
:return:
"""
elements_list = [('FILENAME', './/filename'), ('TYPE', './/type'),
('SEQUENCE', './/sequence'), ('DESCRIPTION', './/description')]
if not os.path.exists(output_directory):
os.makedirs(output_directory)
else:
logger.info(f"Folder Already Exists {output_directory}")
return
logger.info("extracting documents to {}".format(output_directory))
xbrl_doc = re.compile(r'<DOCUMENT>(.*?)</DOCUMENT>', re.DOTALL)
xbrl_text = re.compile(r'<(TEXT|text)>(.*?)</(TEXT|text)>', re.MULTILINE | re.DOTALL)
try:
# or codecs.open on Python 2
raw_text = open(filepath, "rb").read()
result = chardet.detect(raw_text)
charenc = result['encoding']
with io.open(filepath, "r", encoding=charenc) as f:
raw_text = f.read()
except:
with io.open(filepath, "rb") as f:
raw_text = f.read()
sec_filing_header = parse_filing_header(raw_text)
header_filepath = os.path.join(output_directory, f"{os.path.basename(output_directory)}_FILING_HEADER.csv")
sec_filing_header.to_csv(header_filepath)
documents = xbrl_doc.findall(raw_text)
filing_documents = {}
for i, document in enumerate(documents, start=1):
uue_filepath = None
filing_document = {}
lxml_html = lxml.html.fromstring(document)
root = lxml_html.getroottree()
for (element, element_path) in elements_list:
try:
filing_document[f"{element}"] = root.xpath(f"{element_path}")[0].text.strip()
except:
filing_document[f"{element}"] = ""
raw_text = xbrl_text.findall(document)
raw_text = raw_text[0][1].replace("<XBRL>", "").replace("</XBRL>", "").strip()
raw_text = raw_text.replace("<XML>", "").replace("</XML>", "").strip()
if raw_text.lower().startswith("begin") or document.lower().startswith("begin"):
uue_filepath = os.path.join(output_directory, filing_document['FILENAME'] + ".uue")
output_filepath = os.path.join(output_directory, uue_filepath.replace(".uue", ""))
output_filename = os.path.basename(output_filepath)
with open(uue_filepath, 'w', encoding=charenc) as f:
f.write(raw_text)
uudecode(uue_filepath, out_file=output_filepath)
else:
doc_num = f"{int(filing_document['SEQUENCE'])}".zfill(4)
try:
output_filename = f"{doc_num}-({filing_document['TYPE']}) {filing_document['DESCRIPTION']} {filing_document['FILENAME']}"
except:
output_filename = f"{doc_num}-({filing_document['TYPE']}) {filing_document['FILENAME']}".replace(" ", "_").replace(":", "").replace("__", "_")
output_filename = output_filename.replace(" ", "_").replace(":", "").replace("__", "_")
output_filename = format_filename(output_filename)
output_filepath = os.path.join(output_directory, output_filename)
with open(output_filepath, 'w', encoding=charenc) as f:
f.write(raw_text)
filing_document['RELATIVE_FILEPATH'] = os.path.join(os.path.basename(output_directory), output_filepath)
filing_document['DESCRIPTIVE_FILEPATH'] = output_filename
filing_document['FILE_SIZE'] = file_size(output_filepath)
filing_document['FILE_SIZE_BYTES'] = os.stat(output_filepath).st_size
filing_documents[i] = filing_document
if uue_filepath:
os.remove(uue_filepath)
df_sec_filing_contents = pd.DataFrame.from_dict(filing_documents, orient='index')
df_sec_filing_contents.to_csv(os.path.join(output_directory, f"{os.path.basename(output_directory)}_FILING_CONTENTS.csv"))
logger.info(df_sec_filing_contents)
return df_sec_filing_contents
