def create_citation_history_graph_and_box(recid, ln=CFG_SITE_LANG):
"""Create graph with citation history for record RECID (into a
temporary file) and return HTML box refering to that image.
Called by Detailed record pages.
"""
_ = gettext_set_language(ln)
html_result = ""
if cfg_bibrank_print_citation_history:
coordinates = calculate_citation_history_coordinates(recid)
if coordinates:
html_head = """<br /><table><tr><td class="blocknote">%s</td></tr></table>""" % _("Citation history:")
graphe_file_name = 'citation_%s_stats.png' % str(recid)
remove_old_img(graphe_file_name)
years = calculate_citation_graphe_x_coordinates(recid)
years.sort()
datas_info = write_coordinates_in_tmp_file([coordinates])
graphe = create_temporary_image(recid, 'citation', datas_info[0], 'Year', 'Times cited', [0,0], datas_info[1], [], ' ', years)
graphe_image = graphe[0]
graphe_source_file = graphe[1]
if graphe_image and graphe_source_file:
if os.path.exists(graphe_source_file):
os.unlink(datas_info[0])
html_graphe_code = """<p>%s"""% html_command(graphe_image)
html_result = html_head + html_graphe_code
return html_result
def create_users_analysis_graph(id_bibrec, ips):
"""For a given id_bibrec, classify cern users and other users
Draw a percentage graphic reprentation"""
cern_users = 0
other_users = 0
coordinates_list = []
#compute users repartition
for ip in ips:
if 2307522817 <= ip <= 2307588095 or 2156724481 <= ip <= 2156789759:
cern_users += 1
else:
other_users += 1
tot = float(cern_users+other_users)
#prepare coordinates list
coordinates_list.append((1, str(float(cern_users)/tot*100)))
coordinates_list.append((3, str(float(other_users)/tot*100)))
#write coordinates in a temporary file
graph_source_file, y_max = write_coordinates_in_tmp_file([coordinates_list])
#result2 example: [/path/to-invenio/var/www/img/tmpeC9GP5,'100.0']
#the file contains e.g.
#1 100.0
#3 0.0
#plot the graph
graph_file = create_temporary_image(id_bibrec, 'download_users',
graph_source_file, ' ',
'User distribution', (0, 0), y_max,
[], [], [1, 3])
return graph_file, graph_source_file
def create_citation_history_graph_and_box(recid, ln=CFG_SITE_LANG):
"""Create graph with citation history for record RECID (into a
temporary file) and return HTML box refering to that image.
Called by Detailed record pages.
"""
_ = gettext_set_language(ln)
html_result = ""
if cfg_bibrank_print_citation_history:
coordinates = calculate_citation_history_coordinates(recid)
if coordinates:
html_head = """<br /><table><tr><td class="blocknote">%s</td></tr></table>""" % _(
"Citation history:")
graphe_file_name = 'citation_%s_stats.png' % str(recid)
remove_old_img(graphe_file_name)
years = calculate_citation_graphe_x_coordinates(recid)
years.sort()
datas_info = write_coordinates_in_tmp_file([coordinates])
graphe = create_temporary_image(recid, 'citation', datas_info[0],
'Year', 'Times cited', [0, 0],
datas_info[1], [], ' ', years)
graphe_image = graphe[0]
graphe_source_file = graphe[1]
if graphe_image and graphe_source_file:
if os.path.exists(graphe_source_file):
os.unlink(datas_info[0])
html_graphe_code = """<p>%s""" % html_command(graphe_image)
html_result = html_head + html_graphe_code
return html_result
def create_users_analysis_graph(id_bibrec, ips):
"""For a given id_bibrec, classify cern users and other users
Draw a percentage graphic reprentation"""
cern_users = 0
other_users = 0
coordinates_list = []
#compute users repartition
for ip in ips:
if 2307522817 <= ip <= 2307588095 or 2156724481 <= ip <= 2156789759:
cern_users += 1
else:
other_users += 1
tot = float(cern_users + other_users)
#prepare coordinates list
coordinates_list.append((1, str(float(cern_users) / tot * 100)))
coordinates_list.append((3, str(float(other_users) / tot * 100)))
#write coordinates in a temporary file
graph_source_file, y_max = write_coordinates_in_tmp_file(
[coordinates_list])
#result2 example: [/path/to-invenio/var/www/img/tmpeC9GP5,'100.0']
#the file contains e.g.
#1 100.0
#3 0.0
#plot the graph
graph_file = create_temporary_image(id_bibrec, 'download_users',
graph_source_file, ' ',
'User distribution', (0, 0), y_max, [],
[], [1, 3])
return graph_file, graph_source_file
def create_citation_graph(recid, dest_dir):
coordinates = calculate_citation_history_coordinates(recid)
if coordinates:
years = calculate_citation_graphe_x_coordinates(recid)
coordinates_file, max_y = write_coordinates_in_tmp_file([coordinates])
try:
graph_file = create_temporary_image(recid,
'citation', coordinates_file, 'Year', 'Times cited',
[0, 0], max_y, [], ' ', years, dest_dir=dest_dir)
finally:
# Always delete the coordinates file
if coordinates_file:
os.unlink(coordinates_file)
if graph_file and os.path.exists(graph_file):
return graph_file
def create_citation_graph(recid, dest_dir):
coordinates = calculate_citation_history_coordinates(recid)
if coordinates:
years = calculate_citation_graphe_x_coordinates(recid)
coordinates_file, max_y = write_coordinates_in_tmp_file([coordinates])
try:
graph_file = create_temporary_image(recid,
'citation', coordinates_file, 'Year', 'Times cited',
[0, 0], max_y, [], ' ', years, dest_dir=dest_dir)
finally:
# Always delete the coordinates file
if coordinates_file:
os.unlink(coordinates_file)
if graph_file and os.path.exists(graph_file):
return graph_file
def create_graph_image(graph_file_name, graph_data):
"""
Creates a new graph image with the given data.
@param graph_file_name: str (graph image name)
@param graph_data: list (data for the graph plot)
@return: str (full name of the graph image)
"""
res = ''
if not os.path.exists("%s/img/tmp" % (CFG_WEBDIR)):
os.mkdir("%s/img/tmp" % (CFG_WEBDIR))
if not os.path.exists("%s/img/tmp/%s" % (CFG_WEBDIR, graph_file_name[0])):
os.mkdir("%s/img/tmp/%s" % (CFG_WEBDIR, graph_file_name[0]))
datas_info = write_coordinates_in_tmp_file([graph_data])
years = [tup[0] for tup in graph_data]
graph = create_temporary_image(graph_file_name, 'pubs_per_year', datas_info[0], 'Year',
'Times published', [0, 0], datas_info[1], [], ' ', years)
graph_image = graph[0]
graph_source_file = graph[1]
if graph_image and graph_source_file and os.path.exists(graph_source_file):
os.unlink(datas_info[0])
res = graph_image
return res
def draw_downloads_statistics(id_bibrec, id_bibdoc_list):
"""Create a graph of download history using a temporary file to store datas
and a new png file for each id_bibrec to store the image of the graph which will
be referenced by html code."""
intervals = []
#used to name the different curves when len(id_bibdoc_list)>1
docfile_name_list = []
#used to name the uniquecurve when len(id_bibdoc_list)=0 or > cfg_id_bibdoc_id_bibrec
record_name = ""
record_name_query = run_sql("select value from bibrec_bib24x,bib24x where id_bibrec=%s and id_bibxxx=id;" % id_bibrec)
if record_name_query:
record_name = record_name_query[0][0]
#list of lists of tuples: [[("09/2004",4),..],[(..,..)]..]
#Each list element of the list is represented by a curve
#each elem of each list is a point on the graph
coordinates_list = []
#If the document is not stored in internally it has id_bibrec 0 and no creation date
#In this case the beginning date is the first time the document has been downloaded
local_time = time.localtime()
local_month = local_time.tm_mon
local_year = local_time.tm_year
creation_date_res = run_sql("""SELECT DATE_FORMAT(creation_date,"%%Y-%%m") FROM bibrec WHERE id=%s;""" % id_bibrec)
if creation_date_res == ():
creation_date_res = run_sql("""SELECT DATE_FORMAT(MIN(download_time),"%%Y-%%m") FROM rnkDOWNLOADS where id_bibrec=%s;""" % id_bibrec)
if creation_date_res == (('0000-00',),):
creation_date_year = local_year - 1
creation_date_month = local_month
else :
creation_date_year, creation_date_month = string.split(creation_date_res[0][0], "-")
creation_date_year = int(creation_date_year)
creation_date_month = int(creation_date_month)
#create intervals and corresponding values
res = create_tic_intervals(local_year, local_month, creation_date_year, creation_date_month)
intervals = res[1]
tic_list = res[0]
if id_bibdoc_list == []:
coordinates_list.append(create_list_tuple_data(intervals, id_bibrec))
docfile_name_list = record_name
else :
for i in range(len(id_bibdoc_list)):
datas = create_list_tuple_data(intervals, id_bibrec, id_bibdoc_query_addition="and id_bibdoc=%s" % id_bibdoc_list[i])
coordinates_list.append(datas)
docname = run_sql("select docname from bibrec_bibdoc where id_bibdoc=%s and id_bibrec=%s;" % (id_bibdoc_list[i], id_bibrec))
docfile_name_list.append(docname[0][0])
#In case of multiple id_bibdocs datas_max will be used to draw a line which is the total of the others lines
if not (len(intervals)==1 or len(id_bibdoc_list)==1):
datas_max = create_list_tuple_total(intervals, coordinates_list)
coordinates_list.append(datas_max)
#write coordinates_list in a temporary file
graph_source_file, y_max = write_coordinates_in_tmp_file(coordinates_list)
#Use create the graph from the temporary file
graph_file = create_temporary_image(id_bibrec, 'download_history',
graph_source_file, ' ',
'Times downloaded', [0, 0], y_max,
id_bibdoc_list, docfile_name_list,
tic_list)
return graph_file, graph_source_file
def draw_downloads_statistics(id_bibrec, id_bibdoc_list):
"""Create a graph of download history using a temporary file to store datas
and a new png file for each id_bibrec to store the image of the graph which will
be referenced by html code."""
intervals = []
#used to name the different curves when len(id_bibdoc_list)>1
docfile_name_list = []
#used to name the uniquecurve when len(id_bibdoc_list)=0 or > cfg_id_bibdoc_id_bibrec
record_name = ""
record_name_query = run_sql(
"select value from bibrec_bib24x,bib24x where id_bibrec=%s and id_bibxxx=id;"
% id_bibrec)
if record_name_query:
record_name = record_name_query[0][0]
#list of lists of tuples: [[("09/2004",4),..],[(..,..)]..]
#Each list element of the list is represented by a curve
#each elem of each list is a point on the graph
coordinates_list = []
#If the document is not stored in internally it has id_bibrec 0 and no creation date
#In this case the beginning date is the first time the document has been downloaded
local_time = time.localtime()
local_month = local_time.tm_mon
local_year = local_time.tm_year
creation_date_res = run_sql(
"""SELECT DATE_FORMAT(creation_date,"%%Y-%%m") FROM bibrec WHERE id=%s;"""
% id_bibrec)
if creation_date_res == ():
creation_date_res = run_sql(
"""SELECT DATE_FORMAT(MIN(download_time),"%%Y-%%m") FROM rnkDOWNLOADS where id_bibrec=%s;"""
% id_bibrec)
if creation_date_res == (('0000-00', ), ):
creation_date_year = local_year - 1
creation_date_month = local_month
else:
creation_date_year, creation_date_month = string.split(
creation_date_res[0][0], "-")
creation_date_year = int(creation_date_year)
creation_date_month = int(creation_date_month)
#create intervals and corresponding values
res = create_tic_intervals(local_year, local_month, creation_date_year,
creation_date_month)
intervals = res[1]
tic_list = res[0]
if id_bibdoc_list == []:
coordinates_list.append(create_list_tuple_data(intervals, id_bibrec))
docfile_name_list = record_name
else:
for i in range(len(id_bibdoc_list)):
datas = create_list_tuple_data(
intervals,
id_bibrec,
id_bibdoc_query_addition="and id_bibdoc=%s" %
id_bibdoc_list[i])
coordinates_list.append(datas)
docname = run_sql(
"select docname from bibrec_bibdoc where id_bibdoc=%s and id_bibrec=%s;"
% (id_bibdoc_list[i], id_bibrec))
docfile_name_list.append(docname[0][0])
#In case of multiple id_bibdocs datas_max will be used to draw a line which is the total of the others lines
if not (len(intervals) == 1 or len(id_bibdoc_list) == 1):
datas_max = create_list_tuple_total(intervals, coordinates_list)
coordinates_list.append(datas_max)
#write coordinates_list in a temporary file
graph_source_file, y_max = write_coordinates_in_tmp_file(coordinates_list)
#Use create the graph from the temporary file
graph_file = create_temporary_image(id_bibrec, 'download_history',
graph_source_file, ' ',
'Times downloaded', [0, 0], y_max,
id_bibdoc_list, docfile_name_list,
tic_list)
return graph_file, graph_source_file
