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the incident record The reMULTILINE ag means that in this regular expression ^ matches at the start of every line (rather than just at the start of the string), and $ matches at the end of every line (rather than just at the end of the string), so the narrative start and end markers are matched only at the start of lines The second regular expression, key_value_re, is used to capture key=value lines, and it matches at the start of every line in the text it is given to match against, where the line begins with any amount of whitespace (including none), followed by non-= characters which are captured into the key match group, followed by an = character, followed by all the remaining characters in the line (excluding any leading or trailing whitespace), and captures them into the value match group The fundamental logic used to parse the le is the same as we used for the manual text parser that we covered in the previous subsection, only this time we extract incident records and incident data within those records using regular expressions rather than reading line by line

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fh = None try: fh = open(filename, encoding="utf8") selfclear() for incident_match in incident_refinditer(fhread()): data = {} data["report_id"] = incident_matchgroup("id") data["narrative"] = textwrapdedent( incident_matchgroup("narrative"))strip() keyvalues = incident_matchgroup("keyvalues") for match in key_value_refinditer(keyvalues): data[matchgroup("key")] = matchgroup("value") data["date"] = datetimedatetimestrptime( data["date"], "%Y-%m-%d")date() data["pilot_percent_hours_on_type"] = ( float(data["pilot_percent_hours_on_type"])) data["pilot_total_hours"] = int( data["pilot_total_hours"]) data["midair"] = bool(int(data["midair"])) if len(data) != 9: raise IncidentError("missing data") incident = Incident(**data) self[incidentreport_id] = incident return True

The refinditer() method returns an iterator which produces each nonoverlapping match in turn We create a data dictionary to hold one incident s data as we have done before, but this time we get the report ID and narrative text

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