def integrated_plot_page1(): page_active = {"integrated_plot": "active"} session = utils.get_session_json() if session["integrated_plot_data"] == "DTS": dts_folder = session["output_dts_folder"] else: dts_folder = session["norm_dts_folder"] df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None) df = df.replace({np.nan: 0}) dts_data = df.values.tolist() session["dts_data"] = dts_data session["completion"] = json.load( open(os.path.join(dirname, r"temp\completion.json")))["figure"] depths = utils.read_txt(os.path.join(dts_folder, "depths.txt"), "float") session["dts_depths"] = depths timestamps = utils.read_txt(os.path.join(dts_folder, "timestamps.txt"), "string") timestamps = utils.convert_timestamps(timestamps, session["tformat"], tformat_standard, session["dts_hour_shift"]) session["dts_timestamps"] = timestamps session["date_min"] = min(timestamps) session["date_max"] = max(timestamps) if session["well_geothermal_fullpath"]: geothermal = utils.read_txt(session["well_geothermal_fullpath"], "geothermal") session["geothermal"] = geothermal else: session["geothermal"] = [[], []] # fill empty lists if session["well_inclination_fullpath"]: inclination = utils.read_txt(session["well_inclination_fullpath"], "geothermal") session["inclination"] = inclination else: session["inclination"] = [[], []] # fill empty lists if session["downhole_data_fullpath"]: pt = utils.read_pt(session["downhole_data_fullpath"]) session["pt"] = pt else: session["pt"] = [[], [], []] # fill empty lists uom = { "temp_unit": session["temp_unit"], "pres_unit": session["pres_unit"] } return render_template('integrated_plot_plot1.html', page_active=page_active, session=session, uom=uom)
def calc_norm_dts(): session = utils.get_session_json() geothermal = utils.read_txt(session["well_geothermal_fullpath"], "geothermal") dts_folder = session["output_dts_folder"] df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None) df = df.replace({np.nan: 0}) dts_data = df.values.tolist() norm_dts_data = ld.calc_norm_dts(geothermal[1], dts_data) new_df = pd.DataFrame(norm_dts_data) new_df.to_csv(os.path.join(session["norm_dts_folder"], "dts.csv"), index=False, header=False) source = os.path.join(session["output_dts_folder"], "depths.txt") destination = os.path.join(session["norm_dts_folder"], "depths.txt") shutil.copytree(source, destination, dirs_exist_ok=True) source = os.path.join(session["output_dts_folder"], "timestamps.txt") destination = os.path.join(session["norm_dts_folder"], "timestamps.txt") shutil.copytree(source, destination, dirs_exist_ok=True) # df.to_csv(os.path.join(session["norm_dts_folder"],"dts.csv"),index=False,header=False) emit("geothermal_saved") return "None"
def index(): page_active = {"setup": "active"} session = utils.get_session_json() return render_template('index.html', page_active=page_active, session=session)
def save_configs(configs): session = utils.get_session_json() session["zmin"] = configs["zrange"][0] session["zmax"] = configs["zrange"][1] session["colormap"] = configs["colormap"] utils.save_session_json(session) emit("saved") return "None"
def load_data(raw_folder, out_folder): session = utils.get_session_json() raw_df = ld.load_data(raw_folder) data = ld.get_attr_raw_data(raw_df, session["tformat"]) new_df, new_timestamps = ld.dts_fill_gaps(data["timestamps_str"], raw_df, session["tformat"]) ld.save_loaded_data(out_folder, new_df, new_timestamps, data["depths"]) emit("raw_data_loaded", data) return "None"
def completion_builder_page(): page_active = {"completion": "active"} session = utils.get_session_json() completion_templates = utils.get_completion_templates() completion = utils.get_completion() return render_template('completion_builder.html', page_active=page_active, session=session, completion_templates=completion_templates, completion=completion)
def geothermal_page(): page_active = {"geothermal": "active"} session = utils.get_session_json() # completion_templates=utils.get_completion_templates() # completion=utils.get_completion() return render_template( 'geothermal.html', page_active=page_active, session=session, # completion_templates=completion_templates, # completion=completion )
def load_data_page(): page_active = {"load_data": "active"} session = utils.get_session_json() # completion_templates=utils.get_completion_templates() # completion=utils.get_completion() return render_template( 'load_data.html', page_active=page_active, session=session, # completion_templates=completion_templates, # completion=completion )
def calc_geothermal(start, end): session = utils.get_session_json() dts_folder = session["output_dts_folder"] df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None) timestamps_str = utils.read_txt(os.path.join(dts_folder, "timestamps.txt"), "string") depths = utils.read_txt(os.path.join(dts_folder, "depths.txt"), "float") data = ld.calc_geothermal(dts_folder, timestamps_str, df, start, end, session["tformat"], depths) emit("plot_geothermal", data) return "None"
def integrated_plot_page1(): page_active = {"integrated_plot": "active"} session = utils.get_session_json() dts_folder = session["output_dts_folder"] df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None) df = df.replace({np.nan: 0}) dts_data = df.values.tolist() session["dts_data"] = dts_data depths = utils.read_txt(os.path.join(dts_folder, "depths.txt"), "float") session["dts_depths"] = depths timestamps = utils.read_txt(os.path.join(dts_folder, "timestamps.txt"), "string") dhour = -21 timestamps = utils.convert_timestamps(timestamps, "%Y-%m-%dT%H_%M_%S", "%Y-%m-%d %H:%M:%S", dhour) session["dts_timestamps"] = timestamps session["date_min"] = min(timestamps) session["date_max"] = max(timestamps) geothermal = utils.read_txt(session["well_geothermal_fullpath"], "geothermal") session["geothermal"] = geothermal inclination = utils.read_txt(session["well_inclination_fullpath"], "geothermal") session["inclination"] = inclination pt = utils.read_pt(session["downhole_data_fullpath"]) session["pt"] = pt return render_template('integrated_plot_plot1.html', page_active=page_active, session=session)