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# First the 'general' project self.sec_project_activity(self.GLOBAL_PROJECT) self.sec_project_community(self.GLOBAL_PROJECT) self.sec_project_process(self.GLOBAL_PROJECT) if not self.projects: # Don't generate per project data return ...
def sec_projects(self)
Generate the report projects related sections: the general project is included always and add to the global report, and an specific report for each project is generated if configured. :return:
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secs = OrderedDict() secs['Overview'] = self.sec_overview secs['Communication Channels'] = self.sec_com_channels secs['Detailed Activity by Project'] = self.sec_projects return secs
def sections(self)
Get the sections of the report and howto build them. :return: a dict with the method to be called to fill each section of the report
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logger.info("Generating the report data and figs from %s to %s", self.start, self.end) for section in self.sections(): logger.info("Generating %s", section) self.sections()[section]() logger.info("Data and figs done")
def create_data_figs(self)
Generate the data and figs files for the report :return:
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if interval not in ['quarter']: raise RuntimeError("Interval not support in build_period_name", interval) name = pdate.strftime('%Y-%m-%d') + ' ' + interval months_in_quarter = 3 end_quarter_month = None if interval == 'quarter': if offset: ...
def build_period_name(cls, pdate, interval='quarter', offset=None, start_date=False)
Build the period name for humans (eg, 18-Q2) to be used in the reports. Just supporting quarters right now. The name is built using the last month for the quarter. :param pdate: the date (datetime) which defines the period :param interval: the time interval (string) used in the report ...
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with open(filepath) as file: s = file.read() s = s.replace(to_replace, replacement) with open(filepath, 'w') as file: file.write(s)
def replace_text(filepath, to_replace, replacement)
Replaces a string in a given file with another string :param file: the file in which the string has to be replaced :param to_replace: the string to be replaced in the file :param replacement: the string which replaces 'to_replace' in the file
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if not file_type: file_type = "*.tex" for file in glob.iglob(os.path.join(directory, file_type)): self.replace_text(file, to_replace, replacement)
def replace_text_dir(self, directory, to_replace, replacement, file_type=None)
Replaces a string with its replacement in all the files in the directory :param directory: the directory in which the files have to be modified :param to_replace: the string to be replaced in the files :param replacement: the string which replaces 'to_replace' in the files :param file_t...
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logger.info("Generating the report from %s to %s", self.start, self.end) self.create_data_figs() self.create_pdf() logger.info("Report completed")
def create(self)
Generate the data and figs for the report and fill the LaTeX templates with them to generate a PDF file with the report. :return:
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# for each user, check if they have files available # return user name list total_list = [] name_list = [] get_sub = False for path, subdir, dir_files in os.walk(file_dir): if not get_sub: total_list = subdir[:] get_sub = True else: break ...
def get_names(file_dir, files)
Get the annotator name list based on a list of files Args: file_dir: AMR file folder files: a list of AMR names, e.g. nw_wsj_0001_1 Returns: a list of user names who annotate all the files
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match_total = 0 test_total = 0 gold_total = 0 for fi in file_list: file1 = dir_pre + user1 + "/" + fi + ".txt" file2 = dir_pre + user2 + "/" + fi + ".txt" if not os.path.exists(file1): print("*********Error: ", file1, "does not exist*********", file=ERROR_LOG) ...
def compute_files(user1, user2, file_list, dir_pre, start_num)
Compute the smatch scores for a file list between two users Args: user1: user 1 name user2: user 2 name file_list: file list dir_pre: the file location prefix start_num: the number of restarts in smatch Returns: smatch f score.
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col_paddings = [] for i in range(len(table[0])): col_paddings.append(get_max_width(table,i)) for row in table: print(row[0].ljust(col_paddings[0] + 1), end="") for i in range(1, len(row)): col = str(row[i]).rjust(col_paddings[i]+2) print(col, end='') ...
def pprint_table(table)
Print a table in pretty format
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parser = argparse.ArgumentParser(description="Smatch table calculator -- arguments") parser.add_argument("--fl", type=argparse.FileType('r'), help='AMR ID list file') parser.add_argument('-f', nargs='+', help='AMR IDs (at least one)') parser.add_argument("-p", nargs='*', help="User list (can be non...
def build_arg_parser()
Build an argument parser using argparse. Use it when python version is 2.7 or later.
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usage_str = "Smatch table calculator -- arguments" parser = optparse.OptionParser(usage=usage_str) parser.add_option("--fl", dest="fl", type="string", help='AMR ID list file') parser.add_option("-f", dest="f", type="string", action="callback", callback=cb, help="AMR IDs (at least one)") parser....
def build_arg_parser2()
Build an argument parser using optparse. Use it when python version is 2.5 or 2.6.
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arguments = [value] for arg in parser.rargs: if arg[0] != "-": arguments.append(arg) else: del parser.rargs[:len(arguments)] break if getattr(parser.values, option.dest): arguments.extend(getattr(parser.values, option.dest)) setattr(parser...
def cb(option, value, parser)
Callback function to handle variable number of arguments in optparse
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if not os.path.exists(args.fd): print("Not a valid path", args.fd, file=ERROR_LOG) return [], [], False if args.fl is not None: # we already ensure the file can be opened and opened the file file_line = args.fl.readline() amr_ids = file_line.strip().split() elif ...
def check_args(args)
Parse arguments and check if the arguments are valid
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with open(filename, mode) as f: csv_data.replace("_", r"\_") f.write(csv_data)
def create_csv(filename, csv_data, mode="w")
Create a CSV file with the given data and store it in the file with the given name. :param filename: name of the file to store the data in :pram csv_data: the data to be stored in the file :param mode: the mode in which we have to open the file. It can be 'w', 'a', etc. Default is 'w'
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if data_source in self.index_dict: index = self.index_dict[data_source] else: index = self.class2index[self.ds2class[data_source]] return Index(index_name=index)
def get_metric_index(self, data_source)
This function will return the elasticsearch index for a corresponding data source. It chooses in between the default and the user inputed es indices and returns the user inputed one if it is available. :param data_source: the data source for which the index has to be returned :returns: ...
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logger.debug("Calculating Overview metrics.") data_path = os.path.join(self.data_dir, "overview") if not os.path.exists(data_path): os.makedirs(data_path) overview_config = { "activity_metrics": [], "author_metrics": [], "bmi_me...
def get_sec_overview(self)
Generate the "overview" section of the report.
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logger.debug("Calculating Project Activity metrics.") data_path = os.path.join(self.data_dir, "activity") if not os.path.exists(data_path): os.makedirs(data_path) for ds in self.data_sources: metric_file = self.ds2class[ds] metric_index = s...
def get_sec_project_activity(self)
Generate the "project activity" section of the report.
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logger.debug("Calculating Project Community metrics.") data_path = os.path.join(self.data_dir, "community") if not os.path.exists(data_path): os.makedirs(data_path) project_community_config = { "author_metrics": [], "people_top_metrics": []...
def get_sec_project_community(self)
Generate the "project community" section of the report.
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if not data_frames: logger.error("No dataframes provided to create CSV") sys.exit(1) assert(len(data_frames) == len(headers)) dataframes = [] for index, df in enumerate(data_frames): df = df.rename(columns={"value": headers[index].replace("_...
def create_csv_fig_from_df(self, data_frames=[], filename=None, headers=[], index_label=None, fig_type=None, title=None, xlabel=None, ylabel=None, xfont=10, yfont=10, titlefont=15, fig_size=(8, 10), image_type="eps")
Joins all the datafarames horizontally and creates a CSV and an image file from those dataframes. :param data_frames: a list of dataframes containing timeseries data from various metrics :param filename: the name of the csv and image file :param headers: a list of headers to be applied ...
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logger.info("Generating the report data and figs from %s to %s", self.start_date, self.end_date) self.get_sec_overview() self.get_sec_project_activity() self.get_sec_project_community() self.get_sec_project_process() logger.info("Data and f...
def create_data_figs(self)
Generate the data and figs files for the report :return:
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logger.info("Generating the report from %s to %s", self.start_date, self.end_date) self.create_data_figs() self.create_pdf() logger.info("Report completed")
def create(self)
Generate the data and figs for the report and fill the LaTeX templates with them to generate a PDF file with the report. :return:
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tmp = self.get_var(name).copy() # sometimes we want to slice in 1 dimension, sometimes in more # always slice in arrays start = np.atleast_1d(start) count = np.atleast_1d(count) slices = [np.s_[i:(i+n)] for i,n in zip(start, count)] tmp[slices] = var ...
def set_var_slice(self, name, start, count, var)
Overwrite the values in variable name with data from var, in the range (start:start+count). Start, count can be integers for rank 1, and can be tuples of integers for higher ranks. For some implementations it can be equivalent and more efficient to do: `get_var(name)[start[0]:sta...
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tmp = self.get_var(name).copy() tmp.flat[index] = var self.set_var(name, tmp)
def set_var_index(self, name, index, var)
Overwrite the values in variable "name" with data from var, at the flattened (C-contiguous style) indices. Indices is a vector of 0-based integers, of the same length as the vector var. For some implementations it can be equivalent and more efficient to do: `get_var(name)...
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'''Create all tables in the given database''' logging.getLogger(__name__).debug("Creating missing database tables") database.connect() database.create_tables([User, Group, UserToGroup, GroupToCapability, ...
def create_tables(database)
Create all tables in the given database
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'''Create user admin and grant him all permission If the admin user already exists the function will simply return ''' logging.getLogger(__name__).debug("Populating with default users") if not User.select().where(User.name == 'admin').exists(): admin = User.create(name='admin', password='ad...
def populate_with_defaults()
Create user admin and grant him all permission If the admin user already exists the function will simply return
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'''Initialize users database initialize database and create necessary tables to handle users oprations. :param dbURL: database url, as described in :func:`init_proxy` ''' if not dbURL: dbURL = 'sqlite:///:memory:' logging.getLogger(__name__).debug("Initializing database: {}".format...
def init_db(dbURL, pwd_salt_size=None, pwd_rounds=None)
Initialize users database initialize database and create necessary tables to handle users oprations. :param dbURL: database url, as described in :func:`init_proxy`
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whitelist = (' -' + string.ascii_letters + string.digits) if type(s) == six.binary_type: s = six.text_type(s, 'utf-8', 'ignore') table = {} for ch in [ch for ch in s if ch not in whitelist]: if ch not in table: try: replacement = unicodedata.normalize('...
def normalize(s, replace_spaces=True)
Normalize non-ascii characters to their closest ascii counterparts
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prefix = 'ROBOT_' variables = [] def safe_str(s): if isinstance(s, six.text_type): return s else: return six.text_type(s, 'utf-8', 'ignore') for key in os.environ: if key.startswith(prefix) and len(key) > len(prefix): variables.append(saf...
def get_robot_variables()
Return list of Robot Framework -compatible cli-variables parsed from ROBOT_-prefixed environment variable
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logger.debug('Configuring ' + hex(self.get_address()) + ' ch: ' + str(self.get_channel()) + ' res: ' + str(self.get_resolution()) + ' gain: ' + str(self.get_gain())) self.bus.write_byte(self.address, self.config)
def configure(self)
Configure the device. Send the device configuration saved inside the MCP342x object to the target device.
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c = self.config c &= (~MCP342x._continuous_mode_mask & 0x7f) # Force one-shot c |= MCP342x._not_ready_mask # Convert logger.debug('Convert ' + hex(self.address) + ' config: ' + bin(c)) self.bus.write_byte(self.address, c)
def convert(self)
Initiate one-shot conversion. The current settings are used, with the exception of continuous mode.
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es = Elasticsearch(elastic_url) search = Search(using=es, index=index) agg = A("min", field="grimoire_creation_date") search.aggs.bucket("1", agg) search = search.extra(size=0) response = search.execute() start_date = response.to_dict()['aggregations']['1']['value_as_string'][:10] r...
def get_first_date_of_index(elastic_url, index)
Get the first/min date present in the index
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query_filters = [] for name in filters: if name[0] == '*' and not inverse: # An inverse filter and not inverse mode continue if name[0] != '*' and inverse: # A direct filter and inverse mode continue ...
def __get_query_filters(cls, filters={}, inverse=False)
Convert a dict with the filters to be applied ({"name1":"value1", "name2":"value2"}) to a list of query objects which can be used together in a query using boolean combination logic. :param filters: dict with the filters to be applied :param inverse: if True include all the inverse filt...
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if not start and not end: return '' start_end = {} if start: start_end["gte"] = "%s" % start.isoformat() if end: start_end["lte"] = "%s" % end.isoformat() query_range = {date_field: start_end} return query_range
def __get_query_range(cls, date_field, start=None, end=None)
Create a filter dict with date_field from start to end dates. :param date_field: field with the date value :param start: date with the from value. Should be a datetime.datetime object of the form: datetime.datetime(2018, 5, 25, 15, 17, 39) :param end: date with the to valu...
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query_basic = Search() query_filters = cls.__get_query_filters(filters) for f in query_filters: query_basic = query_basic.query(f) query_filters_inverse = cls.__get_query_filters(filters, inverse=True) # Here, don't forget the '~'. That is what makes this a...
def __get_query_basic(cls, date_field=None, start=None, end=None, filters={})
Create a es_dsl query object with the date range and filters. :param date_field: field with the date value :param start: date with the from value, should be a datetime.datetime object :param end: date with the to value, should be a datetime.datetime object :param filters: dict with the ...
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if not agg_id: agg_id = cls.AGGREGATION_ID query_agg = A("terms", field=field, size=cls.AGG_SIZE, order={"_count": "desc"}) return (agg_id, query_agg)
def __get_query_agg_terms(cls, field, agg_id=None)
Create a es_dsl aggregation object based on a term. :param field: field to be used to aggregate :return: a tuple with the aggregation id and es_dsl aggregation object. Ex: { "terms": { "field": <field>, "size:": <size>,...
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if not agg_id: agg_id = cls.AGGREGATION_ID query_agg = A("max", field=field) return (agg_id, query_agg)
def __get_query_agg_max(cls, field, agg_id=None)
Create an es_dsl aggregation object for getting the max value of a field. :param field: field from which the get the max value :return: a tuple with the aggregation id and es_dsl aggregation object. Ex: { "max": { "field": <field> ...
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if not agg_id: agg_id = cls.AGGREGATION_ID query_agg = A("percentiles", field=field) return (agg_id, query_agg)
def __get_query_agg_percentiles(cls, field, agg_id=None)
Create an es_dsl aggregation object for getting the percentiles value of a field. In general this is used to get the median (0.5) percentile. :param field: field from which the get the percentiles values :return: a tuple with the aggregation id and es_dsl aggregation object. Ex: ...
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if not agg_id: agg_id = cls.AGGREGATION_ID query_agg = A("avg", field=field) return (agg_id, query_agg)
def __get_query_agg_avg(cls, field, agg_id=None)
Create an es_dsl aggregation object for getting the average value of a field. :param field: field from which the get the average value :return: a tuple with the aggregation id and es_dsl aggregation object. Ex: { "avg": { "field": <field> ...
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if not agg_id: agg_id = cls.AGGREGATION_ID query_agg = A("cardinality", field=field, precision_threshold=cls.ES_PRECISION) return (agg_id, query_agg)
def __get_query_agg_cardinality(cls, field, agg_id=None)
Create an es_dsl aggregation object for getting the approximate count of distinct values of a field. :param field: field from which the get count of distinct values :return: a tuple with the aggregation id and es_dsl aggregation object. Ex: { "cardinality": { ...
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bounds = {} if start or end: # Extend bounds so we have data until start and end start_ts = None end_ts = None if start: # elasticsearch is unable to convert date with microseconds into long # format for processing,...
def __get_bounds(cls, start=None, end=None)
Return a dict with the bounds for a date_histogram agg. :param start: date from for the date_histogram agg, should be a datetime.datetime object :param end: date to for the date_histogram agg, should be a datetime.datetime object :return: a dict with the DSL bounds for a date_histogram aggregat...
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if not interval: interval = '1M' if not time_zone: time_zone = 'UTC' if not field: field_agg = '' else: if agg_type == "cardinality": agg_id, field_agg = cls.__get_query_agg_cardinality(field, agg_id=cls.A...
def __get_query_agg_ts(cls, field, time_field, interval=None, time_zone=None, start=None, end=None, agg_type='count', offset=None)
Create an es_dsl aggregation object for getting the time series values for a field. :param field: field to get the time series values :param time_field: field with the date :param interval: interval to be used to generate the time series values, such as:(year(y), quarte...
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query_basic = cls.__get_query_basic(date_field=date_field, start=start, end=end, filters=filters) # size=0 gives only the count and not the hits query = query_basic.extra(size=0) ret...
def get_count(cls, date_field=None, start=None, end=None, filters={})
Build the DSL query for counting the number of items. :param date_field: field with the date :param start: date from which to start counting, should be a datetime.datetime object :param end: date until which to count items, should be a datetime.datetime object :param filters: dict with ...
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# This gives us the basic structure of the query, including: # Normal and inverse filters and range. s = cls.__get_query_basic(date_field=date_field, start=start, end=end, filters=filters) # Get only the aggs not the hits # Default count starts from 0 s = s.extr...
def get_agg(cls, field=None, date_field=None, start=None, end=None, filters={}, agg_type="terms", offset=None, interval=None)
Compute the aggregated value for a field. :param field: field to get the time series values :param date_field: field with the date :param interval: interval to be used to generate the time series values, such as:(year(y), quarter(q), month(M), week(w), day(d), hour(h), m...
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if fields_arg is None: return None if isinstance(fields_arg, dict): return tuple(sorted([k for k in list(fields_arg.keys()) if fields_arg[k]])) else: return tuple(sorted(fields_arg))
def _flatten_fetched_fields(fields_arg)
this method takes either a kwargs 'fields', which can be a dict : {"_id": False, "store": 1, "url": 1} or a list : ["store", "flag", "url"] and returns a tuple : ("store", "flag"). it HAS to be a tuple, so that it is not updated by the different instances
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# We fetched with fields=None, we should have fetched them all if self._fetched_fields is None or self._initialized_with_doc: return if force_refetch: missing_fields = fields else: missing_fields = [f for f in fields if f not in self._fetche...
def ensure_fields(self, fields, force_refetch=False)
Makes sure we fetched the fields, and populate them if not.
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db_fields = self.mongokat_collection.find_one({"_id": self["_id"]}, fields={k: 1 for k in missing_fields}) self._fetched_fields += tuple(missing_fields) if not db_fields: return for k, v in db_fields.items(): self[k] = v
def refetch_fields(self, missing_fields)
Refetches a list of fields from the DB
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self.mongokat_collection.update_one({"_id": self["_id"]}, {"$unset": { f: 1 for f in fields }}) for f in fields: if f in self: del self[f]
def unset_fields(self, fields)
Removes this list of fields from both the local object and the DB.
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old_doc = self.mongokat_collection.find_one({"_id": self['_id']}, read_use="primary") if not old_doc: raise OperationFailure('Can not reload an unsaved document.' ' %s is not found in the database. Maybe _id was a string and not ObjectId?' % self...
def reload(self)
allow to refresh the document, so after using update(), it could reload its value from the database. Be carreful : reload() will erase all unsaved values. If no _id is set in the document, a KeyError is raised.
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if not self._initialized_with_doc and not force: raise Exception("Cannot save a document not initialized from a Python dict. This might remove fields from the DB!") self._initialized_with_doc = False if '_id' not in self: if uuid: self['_id'] =...
def save(self, force=False, uuid=False, **kwargs)
REPLACES the object in DB. This is forbidden with objects from find() methods unless force=True is given.
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# Backwards compat, deprecated argument if "dotnotation" in kwargs: del kwargs["dotnotation"] if data is None: data = dotdict(self) if "_id" not in data: raise KeyError("_id must be set in order to do a save_partial()") ...
def save_partial(self, data=None, allow_protected_fields=False, **kwargs)
Saves just the currently set fields in the database.
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global opinel_arg_dir profile_name = 'default' # h4ck to have an early read of the profile name for i, arg in enumerate(sys.argv): if arg == '--profile' and len(sys.argv) >= i + 1: profile_name = sys.argv[i + 1] #if not os.path.isdir(opinel_arg_dir): # os.makedir...
def read_default_args(tool_name)
Read default argument values for a given tool :param tool_name: Name of the script to read the default arguments for :return: Dictionary of default arguments (shared + tool-specific)
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if test_input != None: if type(test_input) == list and len(test_input): choice = test_input.pop(0) elif type(test_input) == list: choice = '' else: choice = test_input else: # Coverage: 4 missed statements try: choice =...
def prompt(test_input = None)
Prompt function that works for Python2 and Python3 :param test_input: Value to be returned when testing :return: Value typed by user (or passed in argument when testing)
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while True: if activate: prompt_string = 'Enter the next value: ' else: prompt_string = 'Enter your MFA code (or \'q\' to abort): ' mfa_code = prompt_4_value(prompt_string, no_confirm = True, input = input) try: if mfa_code == 'q': ...
def prompt_4_mfa_code(activate = False, input = None)
Prompt for an MFA code :param activate: Set to true when prompting for the 2nd code when activating a new MFA device :param input: Used for unit testing :return: The MFA code
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return prompt_4_value('Enter your MFA serial:', required = False, regex = re_mfa_serial_format, regex_format = mfa_serial_format, input = input)
def prompt_4_mfa_serial(input = None)
Prompt for an MFA serial number :param input: Used for unit testing :return: The MFA serial number
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if not os.path.exists(filename) or force_write: return True return prompt_4_yes_no('File \'{}\' already exists. Do you want to overwrite it'.format(filename), input = input)
def prompt_4_overwrite(filename, force_write, input = None)
Prompt whether the file should be overwritten :param filename: Name of the file about to be written :param force_write: Skip confirmation prompt if this flag is set :param input: Used for unit testing :return: Boolean ...
3.146046
4.408988
0.713553
if choices and display_choices and not display_indices: question = question + ' (' + '/'.join(choices) + ')' lap_n = 0 while True: if lap_n >= max_laps: printError('Automatically abording prompt loop after 5 failures') return None lap_n += 1 can_r...
def prompt_4_value(question, choices = None, default = None, display_choices = True, display_indices = False, authorize_list = False, is_question = False, no_confirm = False, required = True, regex = None, regex_format = '', max_laps = 5, input = None, return_index = False)
Prompt for a value . . :param question: Question to be asked :param choices: List of authorized answers :param default: Value suggested by default :param display_choices: Dis...
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count = 0 while True: printError(question + ' (y/n)? ') choice = prompt(input).lower() if choice == 'yes' or choice == 'y': return True elif choice == 'no' or choice == 'n': return False else: count += 1 printError('\'%...
def prompt_4_yes_no(question, input = None)
Prompt for a yes/no or y/n answer . :param question: Question to be asked :param input: Used for unit testing :return: True for yes/y, False for no/n
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if path is None: return default dot = path.rindex('.') module_name = path[:dot] class_name = path[dot + 1:] try: _class = getattr(import_module(module_name), class_name) return _class except (ImportError, AttributeError) as e: raise FeedparserError("{}: ...
def safe_import_module(path, default=None)
Try to import the specified module from the given Python path @path is a string containing a Python path to the wanted module, @default is an object to return if import fails, it can be None, a callable or whatever you need. Return a object or None
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3.160906
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if name not in engines: raise FeedparserError("Given feed name '{}' does not exists in 'settings.FEED_RENDER_ENGINES'".format(name)) renderer = safe_import_module(engines[name]) return renderer
def get_feed_renderer(engines, name)
From engine name, load the engine path and return the renderer class Raise 'FeedparserError' if any loading error
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5.083056
1.333437
''' Clear the current line. Arguments: mode: | 0 | 'forward' | 'right' - Clear cursor to end of line. | 1 | 'backward' | 'left' - Clear cursor to beginning of line. | 2 | 'full' - Clear entire line. Note: Cursor positi...
def clear_line(mode=2)
Clear the current line. Arguments: mode: | 0 | 'forward' | 'right' - Clear cursor to end of line. | 1 | 'backward' | 'left' - Clear cursor to beginning of line. | 2 | 'full' - Clear entire line. Note: Cursor position does ...
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2.417483
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''' Clear the terminal/console screen. (Also aliased to clear.) Arguments: mode: | 0 | 'forward' - Clear cursor to end of screen, cursor stays. | 1 | 'backward' - Clear cursor to beginning of screen, "" | 2 | 'full' - Clear entire visible screen, ...
def clear_screen(mode=2)
Clear the terminal/console screen. (Also aliased to clear.) Arguments: mode: | 0 | 'forward' - Clear cursor to end of screen, cursor stays. | 1 | 'backward' - Clear cursor to beginning of screen, "" | 2 | 'full' - Clear entire visible screen, cursor t...
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''' Reset the terminal/console screen. (Also aliased to cls.) Greater than a fullscreen terminal clear, also clears the scrollback buffer. May expose bugs in dumb terminals. ''' if os.name == 'nt': from .windows import cls cls() else: text = sc.reset _wr...
def reset_terminal()
Reset the terminal/console screen. (Also aliased to cls.) Greater than a fullscreen terminal clear, also clears the scrollback buffer. May expose bugs in dumb terminals.
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''' Set the title of the terminal window/tab/icon. Arguments: title: str mode: | 0 | 'both' - Set icon/taskbar and window/tab title | 1 | 'icon' - Set only icon/taskbar title | 2 | 'title' - Set only window/tab title ''' if os.nam...
def set_title(title, mode=0)
Set the title of the terminal window/tab/icon. Arguments: title: str mode: | 0 | 'both' - Set icon/taskbar and window/tab title | 1 | 'icon' - Set only icon/taskbar title | 2 | 'title' - Set only window/tab title
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''' Strip ANSI escape sequences from a portion of text. https://stackoverflow.com/a/38662876/450917 Arguments: line: str osc: bool - include OSC commands in the strippage. c1: bool - include C1 commands in the strippage. Notes: Enabling c1...
def strip_ansi(text, c1=False, osc=False)
Strip ANSI escape sequences from a portion of text. https://stackoverflow.com/a/38662876/450917 Arguments: line: str osc: bool - include OSC commands in the strippage. c1: bool - include C1 commands in the strippage. Notes: Enabling c1 and osc...
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''' Waits for a keypress at the console and returns it. "Where's the any key?" Arguments: keys - if passed, wait for this specific key, e.g. ESC. may be a tuple. Returns: char or ESC - depending on key hit. None - immediately under i/o ...
def wait_key(keys=None)
Waits for a keypress at the console and returns it. "Where's the any key?" Arguments: keys - if passed, wait for this specific key, e.g. ESC. may be a tuple. Returns: char or ESC - depending on key hit. None - immediately under i/o redirect...
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''' Analogous to the ancient `DOS pause <https://en.wikipedia.org/wiki/List_of_DOS_commands#PAUSE>`_ command, with a modifiable message. Arguments: message: str Returns: str, None: One character or ESC - depending on key hit. None - immediately...
def pause(message='Press any key to continue…')
Analogous to the ancient `DOS pause <https://en.wikipedia.org/wiki/List_of_DOS_commands#PAUSE>`_ command, with a modifiable message. Arguments: message: str Returns: str, None: One character or ESC - depending on key hit. None - immediately under i...
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root = etree.Element('query', nsmap={None: 'http://basex.org/rest'}) text = etree.SubElement(root, 'text') text.text = etree.CDATA(query.strip()) return root
def build_query_fragment(query)
<query xmlns="http://basex.org/rest"> <text><![CDATA[ (//city/name)[position() <= 5] ]]></text> </query>
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renderer_name = kwargs.get('renderer', settings.FEED_DEFAULT_RENDERER_ENGINE) renderer_template = kwargs.get('template', None) expiration = kwargs.get('expiration', 0) renderer = get_feed_renderer(settings.FEED_RENDER_ENGINES, renderer_name) return renderer().render(url, template=renderer_...
def feedparser_render(url, *args, **kwargs)
Render a feed and return its builded html Usage: :: {% feedparser_render 'http://localhost/sample.xml' %} Or with all accepted arguments: :: {% feedparser_render 'http://localhost/sample.xml' renderer='CustomRenderer' template='foo/custom.html' expiration=3600 %}
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service = 'ec2containerservice' if service == 'ecs' else service # Of course things aren't that easy... # Get list of regions from botocore regions = Session().get_available_regions(service, partition_name = partition_name) if len(chosen_regions): return list((Counter(regions) & Counter(cho...
def build_region_list(service, chosen_regions = [], partition_name = 'aws')
Build the list of target region names :param service: :param chosen_regions: :param partition_name: :return:
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api_client = None try: client_params = {} client_params['service_name'] = service.lower() session_params = {} session_params['aws_access_key_id'] = credentials['AccessKeyId'] session_params['aws_secret_access_key'] = credentials['SecretAccessKey'] session_par...
def connect_service(service, credentials, region_name = None, config = None, silent = False)
Instantiates an AWS API client :param service: :param credentials: :param region_name: :param config: :param silent: :return:
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results = {} for entity in entities: results[entity] = [] while True: try: marker_found = False response = callback(**params) for entity in entities: if entity in response: results[entity] = results[entity] + respon...
def handle_truncated_response(callback, params, entities)
Handle truncated responses :param callback: :param params: :param entities: :return:
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resolution = meta.get('resolution', 300) width = meta.get('width', 1080) bgcolor = Color(meta.get('bgcolor', 'white')) stream = BytesIO() with Image(blob=filehandle.stream, resolution=resolution) as img: img.background_color = bgcolor img.alpha_channel = False img.forma...
def pdftojpg(filehandle, meta)
Converts a PDF to a JPG and places it back onto the FileStorage instance passed to it as a BytesIO object. Optional meta arguments are: * resolution: int or (int, int) used for wand to determine resolution, defaults to 300. * width: new width of the image for resizing, defaults to 1080 ...
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2.293628
1.082071
filename = secure_filename(meta.get('filename', filehandle.filename)) basename, _ = os.path.splitext(filename) meta['original_filename'] = filehandle.filename filehandle.filename = filename + '.jpg' return filehandle
def change_filename(filehandle, meta)
Changes the filename to reflect the conversion from PDF to JPG. This method will preserve the original filename in the meta dictionary.
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if meta.get('avoid_name_collision', True): filename = filehandle.filename original, ext = os.path.splitext(filehandle.filename) counter = count() while os.path.exists(get_save_path(filename)): fixer = str(next(counter)) filename = '{}_{}{}'.format(origina...
def avoid_name_collisions(filehandle, meta)
Manipulates a filename until it's unique. This can be disabled by setting meta['avoid_name_collision'] to any falsey value.
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"Uses werkzeug.FileStorage instance to save the converted image." fullpath = get_save_path(filehandle.filename) filehandle.save(fullpath, buffer_size=kwargs.get('buffer_size', 16384))
def pdf_saver(filehandle, *args, **kwargs)
Uses werkzeug.FileStorage instance to save the converted image.
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if local_file: if data_file.startswith('/'): src_file = data_file else: src_dir = os.getcwd() src_file = os.path.join(src_dir, data_file) else: src_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data') if not os.path.isdi...
def load_data(data_file, key_name = None, local_file = False, format = 'json')
Load a JSON data file :param data_file: :param key_name: :param local_file: :return:
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targets = [] data = load_data(filename, local_file = local_file) if 'source' in data: # Filtered IP ranges conditions = data['conditions'] local_file = data['local_file'] if 'local_file' in data else False data = load_data(data['source'], local_file = local_file, key_nam...
def read_ip_ranges(filename, local_file = True, ip_only = False, conditions = [])
Returns the list of IP prefixes from an ip-ranges file :param filename: :param local_file: :param conditions: :param ip_only: :return:
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contents = '' with open(file_path, mode) as f: contents = f.read() return contents
def read_file(file_path, mode = 'rt')
Read the contents of a file :param file_path: Path of the file to be read :return: Contents of the file
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try: if prompt_4_overwrite(filename, force_write): with open(filename, 'wt') as f: print('%s' % json.dumps(blob, indent=4 if debug else None, separators=(',', ': '), sort_keys=True, cls=CustomJSONEncoder), file=f) except Exception as e: printException(e) ...
def save_blob_as_json(filename, blob, force_write, debug)
Creates/Modifies file and saves python object as JSON :param filename: :param blob: :param force_write: :param debug: :return:
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filename = 'ip-ranges-%s.json' % profile_name ip_ranges = {} ip_ranges['createDate'] = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M-%S') # Unique prefixes unique_prefixes = {} for prefix in prefixes: if type(prefix) == dict: unique_prefixes[prefix['ip_prefix']] = pre...
def save_ip_ranges(profile_name, prefixes, force_write, debug, output_format = 'json')
Creates/Modifies an ip-range-XXX.json file :param profile_name: :param prefixes: :param force_write: :param debug: :return:
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script_dir = os.path.dirname(script_path) opinel_min_version = opinel_max_version = boto3_min_version = boto3_max_version = None # Requirements file is either next to the script or in data/requirements if not requirements_file: requirements_file = os.path.join(script_dir, 'data/requirements...
def check_requirements(script_path, requirements_file = None)
Check versions of opinel and boto3 :param script_path: :return:
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assert 'zodb' not in app.extensions, \ 'app already initiated for zodb' app.extensions['zodb'] = _ZODBState(self, app) app.teardown_request(self.close_db)
def init_app(self, app)
Configure a Flask application to use this ZODB extension.
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if self.is_connected: if exception is None and not transaction.isDoomed(): transaction.commit() else: transaction.abort() self.connection.close()
def close_db(self, exception)
Added as a `~flask.Flask.teardown_request` to applications to commit the transaction and disconnect ZODB if it was used during the request.
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assert 'ZODB_STORAGE' in app.config, \ 'ZODB_STORAGE not configured' storage = app.config['ZODB_STORAGE'] if isinstance(storage, basestring): factory, dbargs = zodburi.resolve_uri(storage) elif isinstance(storage, tuple): factory, dbargs = ...
def create_db(self, app)
Create a ZODB connection pool from the *app* configuration.
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assert flask.has_request_context(), \ 'tried to connect zodb outside request' if not self.is_connected: connector = flask.current_app.extensions['zodb'] flask._request_ctx_stack.top.zodb_connection = connector.db.open() transaction.begin() ...
def connection(self)
Request-bound database connection.
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if not quiet: printInfo('Adding user to group %s...' % group) iam_client.add_user_to_group(GroupName = group, UserName = user)
def add_user_to_group(iam_client, user, group, quiet = False)
Add an IAM user to an IAM group :param iam_client: :param group: :param user: :param user_info: :param dry_run: :return:
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groups_data = [] if type(groups) != list: groups = [ groups ] for group in groups: errors = [] try: printInfo('Creating group %s...' % group) iam_client.create_group(GroupName = group) except Exception as e: if e.response['Error']['Co...
def create_groups(iam_client, groups)
Create a number of IAM group, silently handling exceptions when entity already exists . :param iam_client: AWS API client for IAM :param groups: Name of IAM groups to be created. :return: None
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try: printInfo('Deleting MFA device %s...' % mfa_serial) iam_client.delete_virtual_mfa_device(SerialNumber = mfa_serial) except Exception as e: printException(e) printError('Failed to delete MFA device %s' % mfa_serial) pass
def delete_virtual_mfa_device(iam_client, mfa_serial)
Delete a vritual MFA device given its serial number :param iam_client: :param mfa_serial: :return:
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category_regex = [] authorized_empty_regex = 1 if len(category_regex_args) and len(category_groups) != len(category_regex_args): printError('Error: you must provide as many regex as category groups.') return None for regex in category_regex_args: if len(regex) < 1: ...
def init_group_category_regex(category_groups, category_regex_args)
Initialize and compile regular expression for category groups :param category_regex_args: List of string regex :return: List of compiled regex
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''' Compute extended entry, once on the fly. ''' values = None is_fbterm = (env.TERM == 'fbterm') # sigh if 'extended' in self._palette_support: # build entry if is_hex: index = str(find_nearest_color_hexstr(index, ...
def _get_extended_palette_entry(self, name, index, is_hex=False)
Compute extended entry, once on the fly.
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1.098797
''' Compute truecolor entry, once on the fly. values must become sequence of decimal int strings: ('1', '2', '3') ''' values = None type_digits = type(digits) is_fbterm = (env.TERM == 'fbterm') # sigh if 'truecolor' in self._palette_support: # build entry ...
def _get_true_palette_entry(self, name, digits)
Compute truecolor entry, once on the fly. values must become sequence of decimal int strings: ('1', '2', '3')
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''' Converts an palette index to the corresponding ANSI color. Arguments: index - an int (from 0-15) Returns: index as str in a list for compatibility with values. ''' if self.__class__.__name__[0] == 'F': # Foreground if i...
def _index_to_ansi_values(self, index)
Converts an palette index to the corresponding ANSI color. Arguments: index - an int (from 0-15) Returns: index as str in a list for compatibility with values.
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''' Render first values as string and place as first code, save, and return attr. ''' if fbterm: attr = _PaletteEntryFBTerm(self, name.upper(), ';'.join(values)) else: attr = _PaletteEntry(self, name.upper(), ';'.join(values)) setattr(self, nam...
def _create_entry(self, name, values, fbterm=False)
Render first values as string and place as first code, save, and return attr.
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''' This could be a bit less clumsy. ''' if data == '\n': # print does this return self.stream.write(data) else: bytes_ = 0 for line in data.splitlines(True): nl = '' if line.endswith('\n'): # mv nl to end: ...
def write(self, data)
This could be a bit less clumsy.
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''' Set's the output file, currently only useful with context-managers. Note: This function is experimental and may not last. ''' if self._orig_stdout: # restore Usted sys.stdout = self._orig_stdout self._stream = outfile sys.stdout = _L...
def set_output(self, outfile)
Set's the output file, currently only useful with context-managers. Note: This function is experimental and may not last.
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''' Check bounds for errors and update label accordingly. ''' label = '' # label format, based on time - when slow, go to higher-res display delta = time.time() - self.start if delta > self.timedelta2: self.label_fmt = '%5.2f%%' elif delta > self.timedelta1: ...
def _update_status(self)
Check bounds for errors and update label accordingly.
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''' Standard rendering of bar graph. ''' cm_chars = self._comp_style(self.icons[_ic] * self._num_complete_chars) em_chars = self._empt_style(self.icons[_ie] * self._num_empty_chars) return f'{self._first}{cm_chars}{em_chars}{self._last} {self._lbl}'
def _render(self)
Standard rendering of bar graph.
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''' Render with a label inside the bar graph. ''' ncc = self._num_complete_chars bar = self._lbl.center(self.iwidth) cm_chars = self._comp_style(bar[:ncc]) em_chars = self._empt_style(bar[ncc:]) return f'{self._first}{cm_chars}{em_chars}{self._last}'
def _render_internal_label(self)
Render with a label inside the bar graph.
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''' Get the number of complete chars. This one figures the remainder for the partial char as well. ''' sub_chars = round(width * ratio * self.partial_chars_len) ncc, self.remainder = divmod(sub_chars, self.partial_chars_len) return ncc
def _get_ncc(self, width, ratio)
Get the number of complete chars. This one figures the remainder for the partial char as well.
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4.183658
2.393774