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-ba streamlit_app.py | sed -n '13\", \"0,158p'\", \" 130 cols = st.columns(4)\", \" 131\", \" 132 for i, country in enumerate(selected_countries):\", \" 133 col = cols[i % len(cols)]\", \" 134\", \" 135 with col:\", \" 136 first_year_country = first_year[first_year['Country Code'] == co\", \"untry]['GDP']\", \" 137 last_year_country = last_year[last_year['Country Code'] == count\", \"ry]['GDP']\", \" 138\", \" 139 if first_year_country.dropna().empty:\", \" 140 first_gdp = float('nan')\", \" 141 else:\", \" 142 first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_\", \"000\", \" 143\", \" 144 if last_year_country.dropna().empty:\", \" 145 last_gdp = float('nan')\", \" 146 else:\", \" 147 last_gdp = last_year_country.dropna().iloc[0] / 1_000_000_00\", \"0\", \" 148\", \" 149 if math.isnan(first_gdp):\", \" 150 growth = 'n/a'\", \" 151 delta_color = 'off'\", \" 152 else:\", \" 153 growth = f'{last_gdp / first_gdp:,.2f}x'\", \" 154 delta_color = 'normal'\", \" 155\", \" 156 st.metric(\", \" 157 label=f'{country} GDP',\", \" 158 value=f'{last_gdp:,.0f}B',\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"591ca1\"}","container.feed_chars",{},"9ad1c5e2-3980-4e74-b91a-2f460e62b859",{"_97":94,"_147":-5,"_376":432},{"_384":404,"_215":405,"_406":-5,"_46":431},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"nl -ba streamlit_app.py | sed -n '130,158p'\\n\"}",{},"f1c090b6-dfa0-4799-9329-f955d35d2b97",{"_97":94,"_147":-5,"_376":439},{"_384":46,"_385":437},{"_413":59,"_414":415,"_382":383},[438],"Zachytím řádky mezi 130 a 152 pro záznam o opravách.",{},"4c7019cc-a0d2-481c-9785-f1ac6ca7c28e",{"_97":396,"_147":425,"_376":446},{"_384":46,"_385":444},{},[445],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 728, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# nl -ba streamlit_app.py | sed -n '80\", \",110p'\", \" 80\", \" 81 from_year, to_year = st.slider(\", \" 82 'Which years are you interested in?',\", \" 83 min_value=min_value,\", \" 84 max_value=max_value,\", \" 85 value=[min_value, max_value])\", \" 86\", \" 87 countries = gdp_df['Country Code'].unique()\", \" 88\", \" 89 selected_countries = st.multiselect(\", \" 90 'Which countries would you like to view?',\", \" 91 countries,\", \" 92 ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \" 93\", \" 94 if not selected_countries:\", \" 95 st.warning(\\\"Select at least one country\\\")\", \" 96\", \" 97 ''\", \" 98 ''\", \" 99 ''\", \" 100\", \" 101 # Filter the data\", \" 102 filtered_gdp_df = gdp_df[\", \" 103 (gdp_df['Country Code'].isin(selected_countries))\", \" 104 & (gdp_df['Year'] <= to_year)\", \" 105 & (from_year <= gdp_df['Year'])\", \" 106 ]\", \" 107\", \" 108 st.header('GDP over time', divider='gray')\", \" 109\", \" 110 ''\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"f4fca7\"}",{},"663e40a9-e258-413d-8fb6-1d9a4c4ee3ec",{"_97":94,"_147":-5,"_376":452},{"_384":404,"_215":405,"_406":-5,"_46":451},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"nl -ba streamlit_app.py | sed -n '80,110p'\\n\"}",{},"5d7a9601-44b3-4573-afec-a0867de338fb",{"_97":94,"_147":-5,"_376":459},{"_384":46,"_385":457},{"_413":59,"_414":415,"_382":383},[458],"Teď připravím PR a získám řádky změněného souboru pro citace.",{},"116085e4-d4d2-4b71-9e8e-51eeb984199f",{"_97":396,"_147":425,"_376":466},{"_384":46,"_385":464},{},[465],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 727, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git status --short\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"fd31b6\"}",{},"60f31083-f095-4243-b840-203aafde8284",{"_97":94,"_147":-5,"_376":472},{"_384":404,"_215":405,"_406":-5,"_46":471},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"git status --short\\n\"}",{},"d960cbc1-2e09-4cd2-b464-b594fd0fde35",{"_97":94,"_147":-5,"_376":479},{"_384":46,"_385":477},{"_413":59,"_414":415,"_382":383},[478],"Nezjistil jsem stav po úspěšném commitu, takže to teď zkontroluji.",{},"6d4b0401-f313-483e-b922-a86103e1908c",{"_97":396,"_147":425,"_376":486},{"_384":46,"_385":484},{},[485],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 723, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git commit -m \\\"Fix country selection\", \" and handle missing GDP data\\\" && git status --short\", \"[work 74b937d] Fix country selection and handle missing GDP data\", \" 1 file changed, 15 insertions(+), 5 deletions(-)\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"bde85f\"}",{},"76038363-bdbc-4b98-a624-ff898f8d6246",{"_97":94,"_147":-5,"_376":493},{"_384":404,"_215":405,"_406":-5,"_46":492},{"_382":491},9,"{\"session_name\":\"shell\",\"chars\":\"git commit -m \\\"Fix country selection and handle missing GDP data\\\" && git status --short\\n\"}",{},"1a2a1b2f-68a8-467e-a2d4-8f1b72ba592f",{"_97":396,"_147":425,"_376":500},{"_384":46,"_385":498},{},[499],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 722, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git add streamlit_app.py\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"923104\"}",{},"7558b5d0-8793-4505-ada6-dd6bccd6f375",{"_97":94,"_147":-5,"_376":506},{"_384":404,"_215":405,"_406":-5,"_46":505},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"git add streamlit_app.py\\n\"}",{},"72a2bb17-ba87-4fb6-b82f-fc7e79993512",{"_97":94,"_147":-5,"_376":513},{"_384":46,"_385":511},{"_413":59,"_414":415,"_382":383},[512],"Oprava je hotová, teď ji související se změnami uložím v commitu.",{},"4181d462-fbd3-4bb4-b086-2764d8e54589",{"_97":396,"_147":425,"_376":520},{"_384":46,"_385":518},{},[519],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 674, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git diff -U3\", \"diff --git a/streamlit_app.py b/streamlit_app.py\", \"index b6c35c7..225cf9e 100644\", \"--- a/streamlit_app.py\", \"+++ b/streamlit_app.py\", \"@@ -86,14 +86,14 @@ from_year, to_year = st.slider(\", \"\", \" countries = gdp_df['Country Code'].unique()\", \"\", \"-if not len(countries):\", \"- st.warning(\\\"Select at least one country\\\")\", \"-\", \" selected_countries = st.multiselect(\", \" 'Which countries would you like to view?',\", \" countries,\", \" ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \"\", \"+if not selected_countries:\", \"+ st.warning(\\\"Select at least one country\\\")\", \"+\", \" ''\", \" ''\", \" ''\", \"@@ -133,8 +133,18 @@ for i, country in enumerate(selected_countries):\", \" col = cols[i % len(cols)]\", \"\", \" with col:\", \"- first_gdp = first_year[first_year['Country Code'] == country]['GDP'].ia\", \"t[0] / 1000000000\", \"- last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0\", \"] / 1000000000\", \"+ first_year_country = first_year[first_year['Country Code'] == country][\", \"'GDP']\", \"+ last_year_country = last_year[last_year['Country Code'] == country]['GD\", \"P']\", \"+\", \"+ if first_year_country.dropna().empty:\", \"+ first_gdp = float('nan')\", \"+ else:\", \"+ first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_000\", \"+\", \"+ if last_year_country.dropna().empty:\", \"+ last_gdp = float('nan')\", \"+ else:\", \"+ last_gdp = last_year_country.dropna().iloc[0] / 1_000_000_000\", \"\", \" if math.isnan(first_gdp):\", \" growth = 'n/a'\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"1c4bf2\"}",{},"eba88704-31c3-44e0-87b8-cb9265c1f97c",{"_97":94,"_147":-5,"_376":526},{"_384":404,"_215":405,"_406":-5,"_46":525},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"git diff -U3\\n\"}",{},"f0f66a25-6957-469c-868d-a0e4097b01fa",{"_97":94,"_147":-5,"_376":533},{"_384":46,"_385":531},{"_413":59,"_414":415,"_382":383},[532],"Oprava pro změnu kontroly je hotová, ale diff není úplně přehledný; potřebuju víc kontextu.",{},"331accb4-3fda-44f1-a4b6-79bb46cfe7b2",{"_97":396,"_147":425,"_376":540},{"_384":46,"_385":538},{},[539],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 641, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git diff --color --unified=0 | sed -\", \"n '1,120p'\", \"diff --git a/streamlit_app.py b/streamlit_app.py\", \"index b6c35c7..225cf9e 100644\", \"--- a/streamlit_app.py\", \"+++ b/streamlit_app.py\", \"@@ -89,3 +88,0 @@ countries = gdp_df['Country Code'].unique()\", \"-if not len(countries):\", \"- st.warning(\\\"Select at least one country\\\")\", \"-\", \"@@ -96,0 +94,3 @@ selected_countries = st.multiselect(\", \"+if not selected_countries:\", \"+ st.warning(\\\"Select at least one country\\\")\", \"+\", \"@@ -136,2 +136,12 @@ for i, country in enumerate(selected_countries):\", \"- first_gdp = first_year[first_year['Country Code'] == country]['GDP'].ia\", \"t[0] / 1000000000\", \"- last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0\", \"] / 1000000000\", \"+ first_year_country = first_year[first_year['Country Code'] == country][\", \"'GDP']\", \"+ last_year_country = last_year[last_year['Country Code'] == country]['GD\", \"P']\", \"+\", \"+ if first_year_country.dropna().empty:\", \"+ first_gdp = float('nan')\", \"+ else:\", \"+ first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_000\", \"+\", \"+ if last_year_country.dropna().empty:\", \"+ last_gdp = float('nan')\", \"+ else:\", \"+ last_gdp = last_year_country.dropna().iloc[0] / 1_000_000_000\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"48f613\"}",{},"2258ec1e-aaa4-4129-9092-85d8ba4fb083",{"_97":94,"_147":-5,"_376":546},{"_384":404,"_215":405,"_406":-5,"_46":545},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"git diff --color --unified=0 | sed -n '1,120p'\\n\"}",{},"1bd39907-a113-4014-98ba-50a3a5e5e2c0",{"_97":94,"_147":-5,"_376":553},{"_384":46,"_385":551},{"_413":59,"_414":415,"_382":383},[552],"Výstup je v pořádku, ale neověřil jsem semantiku. Teď to uložím.",{},"75e7fcdd-a83e-40ac-9b99-d7b6d5cc00f6",{"_97":396,"_147":425,"_376":560},{"_384":46,"_385":558},{},[559],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 639, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# python -m py_compile streamlit_app.p\", \"y\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"a25ba5\"}",{},"86e7f446-aa19-47e6-a1f0-21a22fff7715",{"_97":94,"_147":-5,"_376":566},{"_384":404,"_215":405,"_406":-5,"_46":565},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"python -m py_compile streamlit_app.py\\n\", \"yield_time_ms\": 1000}",{},"c1511de6-e5c1-49ab-be95-b1356407cd60",{"_97":94,"_147":-5,"_376":573},{"_384":46,"_385":571},{"_413":59,"_414":415,"_382":383},[572],"Otestuji syntaxi pomocí `python -m py_compile`, protože nemáme žádné reálné testy.",{},"8aaec2f7-9cd4-4057-a24a-3c82eabbde80",{"_97":396,"_147":425,"_376":580},{"_384":46,"_385":578},{},[579],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 637, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git status --short\", \" M streamlit_app.py\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"d3adbc\"}",{},"99b7ad13-b59d-4cab-a912-f16a99ec5311",{"_97":94,"_147":-5,"_376":585},{"_384":404,"_215":405,"_406":-5,"_46":471},{"_382":403},{},"f4fb4cc0-c53b-4da8-b0e2-ba75ca336aab",{"_97":94,"_147":-5,"_376":592},{"_384":46,"_385":590},{"_413":59,"_414":415,"_382":383},[591],"Teď, když jsem aktualizoval, spustím git diff, abych zkontroloval patch.",{},"8632677d-c91b-4056-8846-7b1b9e7d00e1",{"_97":396,"_147":425,"_376":599},{"_384":46,"_385":597},{},[598],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 609, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# apply_patch<<'PATCH'\", \"> *** Begin Patch\", \"> *** Update File: streamlit_app.py\", \"> @@\", \"> - with col:\", \"> - first_gdp = first_year[first_year['Country Code'] == country]['GDP'].\", \"iat[0] / 1000000000\", \"> - last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat\", \"[0] / 1000000000\", \"> + with col:\", \"> + first_year_country = first_year[first_year['Country Code'] == country\", \"]['GDP']\", \"> + last_year_country = last_year[last_year['Country Code'] == country]['\", \"GDP']\", \"> +\", \"> + if first_year_country.dropna().empty:\", \"> + first_gdp = float('nan')\", \"> + else:\", \"> + first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_000\", \"> +\", \"> + if last_year_country.dropna().empty:\", \"> + last_gdp = float('nan')\", \"> + else:\", \"> + last_gdp = last_year_country.dropna().iloc[0] / 1_000_000_000\", \"> *** End Patch\", \"> PATCH\", \"Success. Updated the following files:\", \"M streamlit_app.py\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"732adb\"}",{},"80846f17-4fd7-4874-b41d-5860ec9eeb2d",{"_97":94,"_147":-5,"_376":605},{"_384":404,"_215":405,"_406":-5,"_46":604},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"apply_patch<<'PATCH'\\n*** Begin Patch\\n*** Update File: streamlit_app.py\\n@@\\n- with col:\\n- first_gdp = first_year[first_year['Country Code'] == country]['GDP'].iat[0] / 1000000000\\n- last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0] / 1000000000\\n+ with col:\\n+ first_year_country = first_year[first_year['Country Code'] == country]['GDP']\\n+ last_year_country = last_year[last_year['Country Code'] == country]['GDP']\\n+\\n+ if first_year_country.dropna().empty:\\n+ first_gdp = float('nan')\\n+ else:\\n+ first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_000\\n+\\n+ if last_year_country.dropna().empty:\\n+ last_gdp = float('nan')\\n+ else:\\n+ last_gdp = last_year_country.dropna().iloc[0] / 1_000_000_000\\n*** End Patch\\nPATCH\\n\"}",{},"ae53bb41-05bb-42dc-b4d4-c45efab37aab",{"_97":94,"_147":-5,"_376":612},{"_384":46,"_385":610},{"_413":59,"_414":415,"_382":383},[611],"Zaměřuji se na úpravu řádků 135 až 139.",{},"89bde831-ed3a-4d57-8b24-48eecdeff5f4",{"_97":396,"_147":425,"_376":619},{"_384":46,"_385":617},{},[618],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 583, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# cat -n streamlit_app.py | sed -n '13\", \"0,153p'\", \" 130 cols = st.columns(4)\", \" 131\", \" 132 for i, country in enumerate(selected_countries):\", \" 133 col = cols[i % len(cols)]\", \" 134\", \" 135 with col:\", \" 136 first_gdp = first_year[first_year['Country Code'] == country]['G\", \"DP'].iat[0] / 1000000000\", \" 137 last_gdp = last_year[last_year['Country Code'] == country]['GDP'\", \"].iat[0] / 1000000000\", \" 138\", \" 139 if math.isnan(first_gdp):\", \" 140 growth = 'n/a'\", \" 141 delta_color = 'off'\", \" 142 else:\", \" 143 growth = f'{last_gdp / first_gdp:,.2f}x'\", \" 144 delta_color = 'normal'\", \" 145\", \" 146 st.metric(\", \" 147 label=f'{country} GDP',\", \" 148 value=f'{last_gdp:,.0f}B',\", \" 149 delta=growth,\", \" 150 delta_color=delta_color\", \" 151 )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"32f9e6\"}",{},"7c928441-76f8-4894-a014-51aac4997138",{"_97":94,"_147":-5,"_376":625},{"_384":404,"_215":405,"_406":-5,"_46":624},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"cat -n streamlit_app.py | sed -n '130,153p'\\n\"}",{},"80ff7b91-8f65-40f9-b9c0-5dac2e67478b",{"_97":396,"_147":425,"_376":632},{"_384":46,"_385":630},{},[631],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 559, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# sed -n '130,149p' -n streamlit_app.p\", \"y\", \"cols = st.columns(4)\", \"\", \"for i, country in enumerate(selected_countries):\", \" col = cols[i % len(cols)]\", \"\", \" with col:\", \" first_gdp = first_year[first_year['Country Code'] == country]['GDP'].iat\", \"[0] / 1000000000\", \" last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0]\", \" / 1000000000\", \"\", \" if math.isnan(first_gdp):\", \" growth = 'n/a'\", \" delta_color = 'off'\", \" else:\", \" growth = f'{last_gdp / first_gdp:,.2f}x'\", \" delta_color = 'normal'\", \"\", \" st.metric(\", \" label=f'{country} GDP',\", \" value=f'{last_gdp:,.0f}B',\", \" delta=growth,\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"21d3c6\"}",{},"28b4a13e-61e2-467b-9c39-8cfd29ed1529",{"_97":94,"_147":-5,"_376":638},{"_384":404,"_215":405,"_406":-5,"_46":637},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"sed -n '130,149p' -n streamlit_app.py\\n\"}",{},"fb6a464d-4586-4576-91da-6b6926430841",{"_97":94,"_147":-5,"_376":645},{"_384":46,"_385":643},{"_413":59,"_414":415,"_382":383},[644],"I'll modify lines 136-137 to handle missing GDP data, implementing the patch for now.",{},"2dab04be-17c0-44e9-96e8-ef8659899ba8",{"_97":396,"_147":425,"_376":652},{"_384":46,"_385":650},{},[651],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 553, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# grep -n \\\"first_gdp\\\" -n streamlit_app\", \".py\", \"136: first_gdp = first_year[first_year['Country Code'] == country]['GDP']\", \".iat[0] / 1000000000\", \"139: if math.isnan(first_gdp):\", \"143: growth = f'{last_gdp / first_gdp:,.2f}x'\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"17047b\"}",{},"198630ef-7e71-419c-889f-1c525f39a68b",{"_97":94,"_147":-5,"_376":658},{"_384":404,"_215":405,"_406":-5,"_46":657},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"grep -n \\\"first_gdp\\\" -n streamlit_app.py\\n\"}",{},"5b6383d2-3428-4f2a-9d5c-4ea4511dfed8",{"_97":94,"_147":-5,"_376":665},{"_384":46,"_385":663},{"_413":59,"_414":415,"_382":383},[664],"Opravuji část kódu pro správné načítání first_gdp a last_gdp.",{},"84f8d5a4-d467-44bb-8fae-cc3a551b12ef",{"_97":396,"_147":425,"_376":672},{"_384":46,"_385":670},{},[671],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 527, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# apply_patch<<'PATCH'\", \"> *** Begin Patch\", \"> *** Update File: streamlit_app.py\", \"> @@\", \"> -countries = gdp_df['Country Code'].unique()\", \"> -\", \"> -if not len(countries):\", \"> - st.warning(\\\"Select at least one country\\\")\", \"> -\", \"> -selected_countries = st.multiselect(\", \"> - 'Which countries would you like to view?',\", \"> - countries,\", \"> - ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \"> +countries = gdp_df['Country Code'].unique()\", \"> +\", \"> +selected_countries = st.multiselect(\", \"> + 'Which countries would you like to view?',\", \"> + countries,\", \"> + ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \"> +\", \"> +if not selected_countries:\", \"> + st.warning(\\\"Select at least one country\\\")\", \"> *** End Patch\", \"> PATCH\", \"Success. Updated the following files:\", \"M streamlit_app.py\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"14d5ed\"}",{},"ecf53c47-6402-4f9f-b914-0361d8de5654",{"_97":94,"_147":-5,"_376":678},{"_384":404,"_215":405,"_406":-5,"_46":677},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"apply_patch<<'PATCH'\\n*** Begin Patch\\n*** Update File: streamlit_app.py\\n@@\\n-countries = gdp_df['Country Code'].unique()\\n-\\n-if not len(countries):\\n- st.warning(\\\"Select at least one country\\\")\\n-\\n-selected_countries = st.multiselect(\\n- 'Which countries would you like to view?',\\n- countries,\\n- ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\\n+countries = gdp_df['Country Code'].unique()\\n+\\n+selected_countries = st.multiselect(\\n+ 'Which countries would you like to view?',\\n+ countries,\\n+ ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\\n+\\n+if not selected_countries:\\n+ st.warning(\\\"Select at least one country\\\")\\n*** End Patch\\nPATCH\\n\"}",{},"439e88a5-decc-4f95-83f3-6d99f679ba73",{"_97":94,"_147":-5,"_376":685},{"_384":46,"_385":683},{"_413":59,"_414":415,"_382":383},[684],"Opravit řádek 89 na \"if not selected_countries\". Přesunout kontrolu až po definici seznamu.",{},"42e558aa-50b1-40f6-8fd3-43ac7cdc8332",{"_97":396,"_147":425,"_376":692},{"_384":46,"_385":690},{},[691],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 494, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# cat -n streamlit_app.py | sed -n '80\", \",110p'\", \" 80\", \" 81 from_year, to_year = st.slider(\", \" 82 'Which years are you interested in?',\", \" 83 min_value=min_value,\", \" 84 max_value=max_value,\", \" 85 value=[min_value, max_value])\", \" 86\", \" 87 countries = gdp_df['Country Code'].unique()\", \" 88\", \" 89 if not len(countries):\", \" 90 st.warning(\\\"Select at least one country\\\")\", \" 91\", \" 92 selected_countries = st.multiselect(\", \" 93 'Which countries would you like to view?',\", \" 94 countries,\", \" 95 ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \" 96\", \" 97 ''\", \" 98 ''\", \" 99 ''\", \" 100\", \" 101 # Filter the data\", \" 102 filtered_gdp_df = gdp_df[\", \" 103 (gdp_df['Country Code'].isin(selected_countries))\", \" 104 & (gdp_df['Year'] <= to_year)\", \" 105 & (from_year <= gdp_df['Year'])\", \" 106 ]\", \" 107\", \" 108 st.header('GDP over time', divider='gray')\", \" 109\", \" 110 ''\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"3af720\"}",{},"28f1e374-091f-40d3-af20-c58acc5acb71",{"_97":94,"_147":-5,"_376":698},{"_384":404,"_215":405,"_406":-5,"_46":697},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"cat -n streamlit_app.py | sed -n '80,110p'\\n\"}",{},"a336a6a3-6f2b-4514-9369-c0cb46a394ee",{"_97":94,"_147":-5,"_376":705},{"_384":46,"_385":703},{"_413":59,"_414":415,"_382":383},[704],"Oprava je na řádcích 136-137. Otevřu i řádky kolem 85 pro další úpravy.",{},"4ca27f2f-259b-4c8f-a439-79848e41ffcc",{"_97":396,"_147":425,"_376":712},{"_384":46,"_385":710},{},[711],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 492, \"output\": [\" 150 delta_color=delta_color\", \" 151 )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"908717\"}",{},"de907f70-63a1-4be5-88ec-576c6a575f90",{"_97":94,"_147":-5,"_376":718},{"_384":404,"_215":405,"_406":-5,"_46":717},{"_382":491},"{\"session_name\":\"shell\",\"chars\":\"\",\"yield_time_ms\":1000}\n",{},"ea7cfa2e-a00c-4ef5-a679-f3ef9c80b500",{"_97":396,"_147":425,"_376":725},{"_384":46,"_385":723},{},[724],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 490, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# cat -n streamlit_app.py | sed -n '15\", \"0,170p'\", \"\"], \"num_elided_lines\": 0, \"chunk_id\": \"ae5833\"}",{},"13ceef22-445f-4806-ab23-bfca22c35433",{"_97":94,"_147":-5,"_376":731},{"_384":404,"_215":405,"_406":-5,"_46":730},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"cat -n streamlit_app.py | sed -n '150,170p'\\n\"}",{},"ca2dfd01-6d0a-47b4-ac97-26c5da03c3da",{"_97":396,"_147":425,"_376":738},{"_384":46,"_385":736},{},[737],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 455, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# cat -n streamlit_app.py | sed -n '12\", \"0,150p'\", \" 120 ''\", \" 121\", \" 122\", \" 123 first_year = gdp_df[gdp_df['Year'] == from_year]\", \" 124 last_year = gdp_df[gdp_df['Year'] == to_year]\", \" 125\", \" 126 st.header(f'GDP in {to_year}', divider='gray')\", \" 127\", \" 128 ''\", \" 129\", \" 130 cols = st.columns(4)\", \" 131\", \" 132 for i, country in enumerate(selected_countries):\", \" 133 col = cols[i % len(cols)]\", \" 134\", \" 135 with col:\", \" 136 first_gdp = first_year[first_year['Country Code'] == country]['G\", \"DP'].iat[0] / 1000000000\", \" 137 last_gdp = last_year[last_year['Country Code'] == country]['GDP'\", \"].iat[0] / 1000000000\", \" 138\", \" 139 if math.isnan(first_gdp):\", \" 140 growth = 'n/a'\", \" 141 delta_color = 'off'\", \" 142 else:\", \" 143 growth = f'{last_gdp / first_gdp:,.2f}x'\", \" 144 delta_color = 'normal'\", \" 145\", \" 146 st.metric(\", \" 147 label=f'{country} GDP',\", \" 148 value=f'{last_gdp:,.0f}B',\", \" 149 delta=growth,\", \" 150 delta_color=delta_color\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"955527\"}",{},"ce993626-195c-4487-b725-a23886791687",{"_97":94,"_147":-5,"_376":744},{"_384":404,"_215":405,"_406":-5,"_46":743},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"cat -n streamlit_app.py | sed -n '120,150p'\\n\"}",{},"722a62b6-e4e4-4bf8-b6a5-2e0cbc78f909",{"_97":94,"_147":-5,"_376":751},{"_384":46,"_385":749},{"_413":59,"_414":415,"_382":383},[750],"Zřejmě jsem použil špatné uvozovky, čas to zkontrolovat a otevřít pomocí cat.",{},"cfee77da-3f9a-48ce-9222-922cfdc96c03",{"_97":396,"_147":425,"_376":758},{"_384":46,"_385":756},{},[757],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 420, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# sed -n '120,151p' streamlit_app.py\", \"''\", \"\", \"\", \"first_year = gdp_df[gdp_df['Year'] == from_year]\", \"last_year = gdp_df[gdp_df['Year'] == to_year]\", \"\", \"st.header(f'GDP in {to_year}', divider='gray')\", \"\", \"''\", \"\", \"cols = st.columns(4)\", \"\", \"for i, country in enumerate(selected_countries):\", \" col = cols[i % len(cols)]\", \"\", \" with col:\", \" first_gdp = first_year[first_year['Country Code'] == country]['GDP'].iat\", \"[0] / 1000000000\", \" last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0]\", \" / 1000000000\", \"\", \" if math.isnan(first_gdp):\", \" growth = 'n/a'\", \" delta_color = 'off'\", \" else:\", \" growth = f'{last_gdp / first_gdp:,.2f}x'\", \" delta_color = 'normal'\", \"\", \" st.metric(\", \" label=f'{country} GDP',\", \" value=f'{last_gdp:,.0f}B',\", \" delta=growth,\", \" delta_color=delta_color\", \" )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"cc76ca\"}",{},"bdb3aacc-0b6c-4cbc-9ac5-4496d2024ca4",{"_97":94,"_147":-5,"_376":764},{"_384":404,"_215":405,"_406":-5,"_46":763},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"sed -n '120,151p' streamlit_app.py\\n\"}",{},"84ebae5d-4023-4eb4-a832-2a861035f2fa",{"_97":94,"_147":-5,"_376":771},{"_384":46,"_385":769},{"_413":59,"_414":415,"_382":383},[770],"Otevřu patch a přidám funkci pro bezpečné výpočty první a poslední hodnoty GDP.",{},"a5465c6f-be15-4176-b128-ec82b90379c0",{"_97":396,"_147":425,"_376":778},{"_384":46,"_385":776},{},[777],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 419, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# git status --short\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"a81079\"}",{},"7953f813-b3b9-4a56-8682-b9b8a742b582",{"_97":94,"_147":-5,"_376":783},{"_384":404,"_215":405,"_406":-5,"_46":717},{"_382":491},{},"c8a425ff-1a2b-45be-9a7f-66ef74f83cb2",{"_97":396,"_147":425,"_376":790},{"_384":46,"_385":788},{},[789],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 419, \"output\": [], \"num_elided_lines\": 0, \"chunk_id\": \"5b2ff6\"}",{},"eddb58e2-a3c2-4f62-a511-c4b2fa83d173",{"_97":94,"_147":-5,"_376":795},{"_384":404,"_215":405,"_406":-5,"_46":471},{"_382":403},{},"8ec3199d-504c-4118-987e-69a65662a6e0",{"_97":94,"_147":-5,"_376":802},{"_384":46,"_385":800},{"_413":59,"_414":415,"_382":383},[801],"I’m tackling the .iat bug first as it'll crash the script with missing data. Let’s fix it.",{},"5d71b2ac-0dcf-4274-8b20-313496752a8e",{"_97":396,"_147":425,"_376":809},{"_384":46,"_385":807},{},[808],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 383, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# nl -ba streamlit_app.py | sed -n '12\", \"0,151p'\", \" 120 ''\", \" 121\", \" 122\", \" 123 first_year = gdp_df[gdp_df['Year'] == from_year]\", \" 124 last_year = gdp_df[gdp_df['Year'] == to_year]\", \" 125\", \" 126 st.header(f'GDP in {to_year}', divider='gray')\", \" 127\", \" 128 ''\", \" 129\", \" 130 cols = st.columns(4)\", \" 131\", \" 132 for i, country in enumerate(selected_countries):\", \" 133 col = cols[i % len(cols)]\", \" 134\", \" 135 with col:\", \" 136 first_gdp = first_year[first_year['Country Code'] == country]['G\", \"DP'].iat[0] / 1000000000\", \" 137 last_gdp = last_year[last_year['Country Code'] == country]['GDP'\", \"].iat[0] / 1000000000\", \" 138\", \" 139 if math.isnan(first_gdp):\", \" 140 growth = 'n/a'\", \" 141 delta_color = 'off'\", \" 142 else:\", \" 143 growth = f'{last_gdp / first_gdp:,.2f}x'\", \" 144 delta_color = 'normal'\", \" 145\", \" 146 st.metric(\", \" 147 label=f'{country} GDP',\", \" 148 value=f'{last_gdp:,.0f}B',\", \" 149 delta=growth,\", \" 150 delta_color=delta_color\", \" 151 )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"98d332\"}",{},"a6f0b529-7927-4a8f-905f-5af5190e98a9",{"_97":94,"_147":-5,"_376":815},{"_384":404,"_215":405,"_406":-5,"_46":814},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"nl -ba streamlit_app.py | sed -n '120,151p'\\n\"}",{},"085a4372-ce42-4314-9ad9-7c3261dace46",{"_97":396,"_147":425,"_376":822},{"_384":46,"_385":820},{},[821],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 356, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# sed -n '128,151p' streamlit_app.py\", \"''\", \"\", \"cols = st.columns(4)\", \"\", \"for i, country in enumerate(selected_countries):\", \" col = cols[i % len(cols)]\", \"\", \" with col:\", \" first_gdp = first_year[first_year['Country Code'] == country]['GDP'].iat\", \"[0] / 1000000000\", \" last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0]\", \" / 1000000000\", \"\", \" if math.isnan(first_gdp):\", \" growth = 'n/a'\", \" delta_color = 'off'\", \" else:\", \" growth = f'{last_gdp / first_gdp:,.2f}x'\", \" delta_color = 'normal'\", \"\", \" st.metric(\", \" label=f'{country} GDP',\", \" value=f'{last_gdp:,.0f}B',\", \" delta=growth,\", \" delta_color=delta_color\", \" )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"29a5d7\"}",{},"bf3dd537-8072-4aed-b840-aeaf3ce322a1",{"_97":94,"_147":-5,"_376":828},{"_384":404,"_215":405,"_406":-5,"_46":827},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"sed -n '128,151p' streamlit_app.py\\n\"}",{},"98b91068-16be-45ba-9a00-01f8c9d7176d",{"_97":94,"_147":-5,"_376":835},{"_384":46,"_385":833},{"_413":59,"_414":415,"_382":383},[834],"Vypadá to, že po použití `sed` data nejsou očekávaná, takže to zkusím znovu.",{},"c5b0461a-2afd-45ef-9708-a39ff96b711c",{"_97":396,"_147":425,"_376":842},{"_384":46,"_385":840},{},[841],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 328, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# sed -n '128,151p' -n streamlit_app.p\", \"y\", \"''\", \"\", \"cols = st.columns(4)\", \"\", \"for i, country in enumerate(selected_countries):\", \" col = cols[i % len(cols)]\", \"\", \" with col:\", \" first_gdp = first_year[first_year['Country Code'] == country]['GDP'].iat\", \"[0] / 1000000000\", \" last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0]\", \" / 1000000000\", \"\", \" if math.isnan(first_gdp):\", \" growth = 'n/a'\", \" delta_color = 'off'\", \" else:\", \" growth = f'{last_gdp / first_gdp:,.2f}x'\", \" delta_color = 'normal'\", \"\", \" st.metric(\", \" label=f'{country} GDP',\", \" value=f'{last_gdp:,.0f}B',\", \" delta=growth,\", \" delta_color=delta_color\", \" )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"61f911\"}",{},"719c79fb-35c9-4654-8ec3-f6b02ef6f842",{"_97":94,"_147":-5,"_376":848},{"_384":404,"_215":405,"_406":-5,"_46":847},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"sed -n '128,151p' -n streamlit_app.py\\n\"}",{},"5afe57ef-c89f-4f3d-9fe4-85ccdbbd1b7a",{"_97":94,"_147":-5,"_376":855},{"_384":46,"_385":853},{"_413":59,"_414":415,"_382":383},[854],"The lack of pandas and network access complicates running tests, but I can see missing dataset values. I'll fix the `iat[0]` bug and ensure proper handling of empty data. Let's edit the code accordingly.",{},"cb6e87e8-f270-46c3-be4a-6909f4ced031",{"_97":396,"_147":425,"_376":862},{"_384":46,"_385":860},{},[861],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 295, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# python - <<'EOF'\", \"> import pandas as pd\", \"> from pathlib import Path\", \">\", \"> DATA_FILENAME = Path('data/gdp_data.csv')\", \"> raw_gdp_df = pd.read_csv(DATA_FILENAME)\", \"> MIN_YEAR = 1960\", \"> MAX_YEAR = 2022\", \">\", \"> columns = ['Country Code'] + [str(x) for x in range(MIN_YEAR, MAX_YEAR + 1)]\", \"> gdp_df = raw_gdp_df.melt(\", \"> ['Country Code'],\", \"> [str(x) for x in range(MIN_YEAR, MAX_YEAR + 1)],\", \"> 'Year',\", \"> 'GDP',\", \"> )\", \">\", \"> # convert years\", \"> gdp_df['Year'] = pd.to_numeric(gdp_df['Year'])\", \">\", \"> countries = gdp_df['Country Code'].unique()\", \"> print(len(countries))\", \">\", \"> from_year = 1960\", \"> last_year = gdp_df[gdp_df['Year'] == 2022]\", \"> print('Rows for Afghanistan at 1960:', gdp_df[(gdp_df['Country Code']=='AFG')\", \"& (gdp_df['Year']==1960)])\", \"> print('Rows for Afghanistan at 2022:', gdp_df[(gdp_df['Country Code']=='AFG')\", \"& (gdp_df['Year']==2022)])\", \"> EOF\", \"Traceback (most recent call last):\", \" File \\\"\\\", line 1, in \", \"ModuleNotFoundError: No module named 'pandas'\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"a9a8ae\"}",{},"2ba95118-9cde-439b-a92d-9632eab485b4",{"_97":94,"_147":-5,"_376":868},{"_384":404,"_215":405,"_406":-5,"_46":867},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"python - <<'EOF'\\nimport pandas as pd\\nfrom pathlib import Path\\n\\nDATA_FILENAME = Path('data/gdp_data.csv')\\nraw_gdp_df = pd.read_csv(DATA_FILENAME)\\nMIN_YEAR = 1960\\nMAX_YEAR = 2022\\n\\ncolumns = ['Country Code'] + [str(x) for x in range(MIN_YEAR, MAX_YEAR + 1)]\\ngdp_df = raw_gdp_df.melt(\\n ['Country Code'],\\n [str(x) for x in range(MIN_YEAR, MAX_YEAR + 1)],\\n 'Year',\\n 'GDP',\\n)\\n\\n# convert years\\ngdp_df['Year'] = pd.to_numeric(gdp_df['Year'])\\n\\ncountries = gdp_df['Country Code'].unique()\\nprint(len(countries))\\n\\nfrom_year = 1960\\nlast_year = gdp_df[gdp_df['Year'] == 2022]\\nprint('Rows for Afghanistan at 1960:', gdp_df[(gdp_df['Country Code']=='AFG') & (gdp_df['Year']==1960)])\\nprint('Rows for Afghanistan at 2022:', gdp_df[(gdp_df['Country Code']=='AFG') & (gdp_df['Year']==2022)])\\nEOF\\n\"}",{},"8e70847e-68b6-4858-8cb9-7bb323b5bc8c",{"_97":94,"_147":-5,"_376":875},{"_384":46,"_385":873},{"_413":59,"_414":415,"_382":383},[874],"Řetězec není přiřazen žádné proměnné, takže nebude zobrazen. Mělo by se použít `st.markdown`.\n\nV kódu mohou nastat chyby při zpracování chybějících dat a při použití `.iat[0]`.",{},"2d5b2bae-d3a2-41bb-a590-d1020f8d4cdb",{"_97":396,"_147":425,"_376":882},{"_384":46,"_385":880},{},[881],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 274, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# nl -ba streamlit_app.py | sed -n '60\", \",75p'\", \" 60 gdp_df = get_gdp_data()\", \" 61\", \" 62 # ----------------------------------------------------------------------\", \"-------\", \" 63 # Draw the actual page\", \" 64\", \" 65 # Set the title that appears at the top of the page.\", \" 66 '''\", \" 67 # :earth_americas: Tulies GDP dashboard\", \" 68\", \" 69 Browse GDP data from the [World Bank Open Data](https://data.worldbank.o\", \"rg/) website. As you'll\", \" 70 notice, the data only goes to 2022 right now, and datapoints for certain\", \" years are often missing.\", \" 71 But it's otherwise a great (and did I mention _free_?) source of data.\", \" 72 '''\", \" 73\", \" 74 # Add some spacing\", \" 75 ''\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"fe8a26\"}",{},"da373d42-f0fe-4dd4-959d-2ff4bb04c4d7",{"_97":94,"_147":-5,"_376":888},{"_384":404,"_215":405,"_406":-5,"_46":887},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"nl -ba streamlit_app.py | sed -n '60,75p'\\n\"}",{},"3fbbc637-f845-4cc8-9849-a13fe9202f42",{"_97":94,"_147":-5,"_376":895},{"_384":46,"_385":893},{"_413":59,"_414":415,"_382":383},[894],"Bug není skutečný, ale kód kontroluje nesprávnou proměnnou místo `selected_countries`. Něco k opravě.\n\nOvěřím závorky mezi řádky 60-75, abych se ujistil o správnosti.",{},"807601f2-626c-4391-9f97-0d5f509d9377",{"_97":396,"_147":425,"_376":902},{"_384":46,"_385":900},{},[901],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 259, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# nl -ba streamlit_app.py | sed -n '85\", \",97p'\", \" 85 value=[min_value, max_value])\", \" 86\", \" 87 countries = gdp_df['Country Code'].unique()\", \" 88\", \" 89 if not len(countries):\", \" 90 st.warning(\\\"Select at least one country\\\")\", \" 91\", \" 92 selected_countries = st.multiselect(\", \" 93 'Which countries would you like to view?',\", \" 94 countries,\", \" 95 ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \" 96\", \" 97 ''\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"089f20\"}",{},"43b3dfd1-47a2-4038-ba5f-94bb695361ca",{"_97":94,"_147":-5,"_376":908},{"_384":404,"_215":405,"_406":-5,"_46":907},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"nl -ba streamlit_app.py | sed -n '85,97p'\\n\"}",{},"196f79e2-2f54-4ee4-93e4-09da6f34a4bd",{"_97":94,"_147":-5,"_376":915},{"_384":46,"_385":913},{"_413":59,"_414":415,"_382":383},[914],"The check for empty `selected_countries` is inconsistent, leading to misleading warning messages.\n\nThe check on the wrong variable is inside the block with `countries`, let's confirm.",{},"27f5a704-fea2-44b3-ac1e-6e96f624f5d6",{"_97":396,"_147":425,"_376":922},{"_384":46,"_385":920},{},[921],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 196, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# head -n 5 data/gdp_data.csv\", \"\\\"Country Name\\\",\\\"Country Code\\\",\\\"Indicator Name\\\",\\\"Indicator Code\\\",\\\"1960\\\",\\\"1961\\\",\\\"1\", \"962\\\",\\\"1963\\\",\\\"1964\\\",\\\"1965\\\",\\\"1966\\\",\\\"1967\\\",\\\"1968\\\",\\\"1969\\\",\\\"1970\\\",\\\"1971\\\",\\\"1972\\\",\\\"1973\", \"\\\",\\\"1974\\\",\\\"1975\\\",\\\"1976\\\",\\\"1977\\\",\\\"1978\\\",\\\"1979\\\",\\\"1980\\\",\\\"1981\\\",\\\"1982\\\",\\\"1983\\\",\\\"1984\\\",\\\"\", \"1985\\\",\\\"1986\\\",\\\"1987\\\",\\\"1988\\\",\\\"1989\\\",\\\"1990\\\",\\\"1991\\\",\\\"1992\\\",\\\"1993\\\",\\\"1994\\\",\\\"1995\\\",\\\"199\", \"6\\\",\\\"1997\\\",\\\"1998\\\",\\\"1999\\\",\\\"2000\\\",\\\"2001\\\",\\\"2002\\\",\\\"2003\\\",\\\"2004\\\",\\\"2005\\\",\\\"2006\\\",\\\"2007\\\",\", \"\\\"2008\\\",\\\"2009\\\",\\\"2010\\\",\\\"2011\\\",\\\"2012\\\",\\\"2013\\\",\\\"2014\\\",\\\"2015\\\",\\\"2016\\\",\\\"2017\\\",\\\"2018\\\",\\\"20\", \"19\\\",\\\"2020\\\",\\\"2021\\\",\\\"2022\\\",\", \"\\\"Aruba\\\",\\\"ABW\\\",\\\"GDP (current US$)\\\",\\\"NY.GDP.MKTP.CD\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\",\\\"\\\"\", 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\",\\\"682176065823.115\\\",\\\"737739503299.735\\\",\\\"834097010134.991\\\",\\\"894505003403.491\\\",\\\"76\", \"9263195356.949\\\",\\\"692114931613.254\\\",\\\"685630289666.515\\\",\\\"768158194632.397\\\",\\\"823405\", \"580187.913\\\",\\\"786962436538.391\\\",\\\"844927536437.833\\\",\\\"875393693658.084\\\",\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"353dda\"}",{},"bd6f3913-d5dd-4a76-9c58-4639866cf7f6",{"_97":94,"_147":-5,"_376":928},{"_384":404,"_215":405,"_406":-5,"_46":927},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"head -n 5 data/gdp_data.csv\\n\"}",{},"1cca7906-23f9-4849-bb6b-8ee0c8f091ea",{"_97":94,"_147":-5,"_376":935},{"_384":46,"_385":933},{"_413":59,"_414":415,"_382":383},[934],"Podmínka pro zobrazení varování je správně, ale může nastat chyba při vybírání dat GDP.\n\nMožná problém s NaN hodnotami, dělení nulou a chybějícími hodnotami v datasetu.",{},"6dc86611-4da9-4c12-9dfa-e80e1c1eaf81",{"_97":396,"_147":425,"_376":942},{"_384":46,"_385":940},{},[941],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 33, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# cat -n streamlit_app.py\", \" 1 import streamlit as st\", \" 2 import pandas as pd\", \" 3 import math\", \" 4 from pathlib import Path\", \" 5\", \" 6 # Set the title and favicon that appear in the Browser's tab bar.\", \" 7 st.set_page_config(\", \" 8 page_title='Tulies GDP dashboard',\", \" 9 page_icon=':earth_americas:', # This is an emoji shortcode. Could be\", \" a URL too.\", \" 10 )\", \" 11\", \" 12 # ----------------------------------------------------------------------\", \"-------\", \" 13 # Declare some useful functions.\", \" 14\", \" 15 @st.cache_data\", \" 16 def get_gdp_data():\", \" 17 \\\"\\\"\\\"Grab GDP data from a CSV file.\", \" 18\", \" 19 This uses caching to avoid having to read the file every time. If we\", \" were\", \" 20 reading from an HTTP endpoint instead of a file, it's a good idea to\", \" set\", \" 21 a maximum age to the cache with the TTL argument: @st.cache_data(ttl\", \"='1d')\", \" 22 \\\"\\\"\\\"\", \" 23\", \" 24 # Instead of a CSV on disk, you could read from an HTTP endpoint her\", \"e too.\", \" 25 DATA_FILENAME = Path(__file__).parent/'data/gdp_data.csv'\", \" 26 raw_gdp_df = pd.read_csv(DATA_FILENAME)\", \" 27\", \" 28 MIN_YEAR = 1960\", \" 29 MAX_YEAR = 2022\", \" 30\", \" 31 # The data above has columns like:\", \" 32 # - Country Name\", \" 33 # - Country Code\", \" 34 # - [Stuff I don't care about]\", \" 35 # - GDP for 1960\", \" 36 # - GDP for 1961\", \" 37 # - GDP for 1962\", \" 38 # - ...\", \" 39 # - GDP for 2022\", \" 40 #\", \" 41 # ...but I want this instead:\", \" 42 # - Country Name\", \" 43 # - Country Code\", \" 44 # - Year\", \" 45 # - GDP\", \" 46 #\", \" 47 # So let's pivot all those year-columns into two: Year and GDP\", \" 48 gdp_df = raw_gdp_df.melt(\", \" 49 ['Country Code'],\", \" 50 [str(x) for x in range(MIN_YEAR, MAX_YEAR + 1)],\", \" 51 'Year',\", \" 52 'GDP',\", \" 53 )\", \" 54\", \" 55 # Convert years from string to integers\", \" 56 gdp_df['Year'] = pd.to_numeric(gdp_df['Year'])\", \" 57\", \" 58 return gdp_df\", \" 59\", \" 60 gdp_df = get_gdp_data()\", \" 61\", \" 62 # ----------------------------------------------------------------------\", \"-------\", \" 63 # Draw the actual page\", \" 64\", \" 65 # Set the title that appears at the top of the page.\", \" 66 '''\", \" 67 # :earth_americas: Tulies GDP dashboard\", \" 68\", \" 69 Browse GDP data from the [World Bank Open Data](https://data.worldbank.o\", \"rg/) website. As you'll\", \" 70 notice, the data only goes to 2022 right now, and datapoints for certain\", \" years are often missing.\", \" 71 But it's otherwise a great (and did I mention _free_?) source of data.\", \" 72 '''\", \" 73\", \" 74 # Add some spacing\", \" 75 ''\", \" 76 ''\", \" 77\", \" 78 min_value = gdp_df['Year'].min()\", \" 79 max_value = gdp_df['Year'].max()\", \" 80\", \" 81 from_year, to_year = st.slider(\", \" 82 'Which years are you interested in?',\", \" 83 min_value=min_value,\", \" 84 max_value=max_value,\", \" 85 value=[min_value, max_value])\", \" 86\", \" 87 countries = gdp_df['Country Code'].unique()\", \" 88\", \" 89 if not len(countries):\", \" 90 st.warning(\\\"Select at least one country\\\")\", \" 91\", \" 92 selected_countries = st.multiselect(\", \" 93 'Which countries would you like to view?',\", \" 94 countries,\", \" 95 ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\", \" 96\", \" 97 ''\", \" 98 ''\", \" 99 ''\", \" 100\", \" 101 # Filter the data\", \" 102 filtered_gdp_df = gdp_df[\", \" 103 (gdp_df['Country Code'].isin(selected_countries))\", \" 104 & (gdp_df['Year'] <= to_year)\", \" 105 & (from_year <= gdp_df['Year'])\", \" 106 ]\", \" 107\", \" 108 st.header('GDP over time', divider='gray')\", \" 109\", \" 110 ''\", \" 111\", \" 112 st.line_chart(\", \" 113 filtered_gdp_df,\", \" 114 x='Year',\", \" 115 y='GDP',\", \" 116 color='Country Code',\", \" 117 )\", \" 118\", \" 119 ''\", \" 120 ''\", \" 121\", \" 122\", \" 123 first_year = gdp_df[gdp_df['Year'] == from_year]\", \" 124 last_year = gdp_df[gdp_df['Year'] == to_year]\", \" 125\", \" 126 st.header(f'GDP in {to_year}', divider='gray')\", \" 127\", \" 128 ''\", \" 129\", \" 130 cols = st.columns(4)\", \" 131\", \" 132 for i, country in enumerate(selected_countries):\", \" 133 col = cols[i % len(cols)]\", \" 134\", \" 135 with col:\", \" 136 first_gdp = first_year[first_year['Country Code'] == country]['G\", \"DP'].iat[0] / 1000000000\", \" 137 last_gdp = last_year[last_year['Country Code'] == country]['GDP'\", \"].iat[0] / 1000000000\", \" 138\", \" 139 if math.isnan(first_gdp):\", \" 140 growth = 'n/a'\", \" 141 delta_color = 'off'\", \" 142 else:\", \" 143 growth = f'{last_gdp / first_gdp:,.2f}x'\", \" 144 delta_color = 'normal'\", \" 145\", \" 146 st.metric(\", \" 147 label=f'{country} GDP',\", \" 148 value=f'{last_gdp:,.0f}B',\", \" 149 delta=growth,\", \" 150 delta_color=delta_color\", \" 151 )\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"c0ced6\"}",{},"1387d7eb-8aca-42e9-8471-97866b202394",{"_97":94,"_147":-5,"_376":948},{"_384":404,"_215":405,"_406":-5,"_46":947},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"cat -n streamlit_app.py\\n\"}",{},"47aa72a5-59d5-49eb-a56d-713d786bfe2a",{"_97":94,"_147":-5,"_376":955},{"_384":46,"_385":953},{"_413":59,"_414":415,"_382":383},[954],"Zkontroluji soubor streamlit_app.py, abych se podíval, co v něm je.",{},"08f01e6e-10d6-4db6-83d6-0af6ff725a92",{"_97":396,"_147":425,"_376":962},{"_384":46,"_385":960},{},[961],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 12, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# cat README.md\", \"# :earth_americas: GDP dashboard template\", \"\", \"A simple Streamlit app showing the GDP of different countries in the world.\", \"\", \"[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_w\", \"hite.svg)](https://gdp-dashboard-template.streamlit.app/)\", \"\", \"### How to run it on your own machine\", \"\", \"1. Install the requirements\", \"\", \" ```\", \" $ pip install -r requirements.txt\", \" ```\", \"\", \"2. Run the app\", \"\", \" ```\", \" $ streamlit run streamlit_app.py\", \" ```\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"42de4c\"}",{},"0619df9c-7ecd-4ac2-ab46-b04c4ca65190",{"_97":94,"_147":-5,"_376":968},{"_384":404,"_215":405,"_406":-5,"_46":967},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"cat README.md\\n\"}",{},"9d693922-c2b8-4ad4-b3a7-522ee36a39a4",{"_97":94,"_147":-5,"_376":975},{"_384":46,"_385":973},{"_413":59,"_414":415,"_382":383},[974],"Podívám se na README soubor, abych zjistil, co je potřeba.",{},"6bdea285-f642-4fa7-84ea-f72594334e35",{"_97":396,"_147":425,"_376":982},{"_384":46,"_385":980},{},[981],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 6, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# ls -R\", \".:\", \"LICENSE README.md data requirements.txt streamlit_app.py\", \"./data:\", \"gdp_data.csv\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": \"dbfb53\"}",{},"b62ccb2a-3f76-4821-a50f-ceea87ca629d",{"_97":94,"_147":-5,"_376":988},{"_384":404,"_215":405,"_406":-5,"_46":987},{"_382":403},"{\"session_name\":\"shell\",\"chars\":\"ls -R\\n\"}",{},"51b0d13a-f591-4f58-b3a0-aa24ca6e0fa6",{"_97":94,"_147":-5,"_376":995},{"_384":46,"_385":993},{"_413":59,"_414":415,"_382":383},[994],"Nemůžu najít AGENTS.md, takže se podívám na důležitou část kódu.",{},"cbd266ed-2672-4883-ab18-50e4ad05ef7e",{"_97":396,"_147":425,"_376":1002},{"_384":46,"_385":1000},{},[1001],"{\"type\": \"terminal_output\", \"session_name\": \"shell\", \"start_line_no\": 5, \"output\": [\"root@3ede9cf8640b:/workspace/gdp-dashboard# find . -name AGENTS.md -print\", \"root@3ede9cf8640b:/workspace/gdp-dashboard#\"], \"num_elided_lines\": 0, \"chunk_id\": 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\"be65fe\"}","container.new_session",{},"0533e4ae-1ece-4e32-be4a-185fceb4fd72",{"_97":94,"_147":-5,"_376":1048},{"_384":404,"_215":405,"_406":-5,"_46":1047},{"_382":403},"{\"session_name\":\"shell\"}",{},"52c9c46b-2a45-4a00-b3f2-1ceb2053475b",{"_97":94,"_147":-5,"_376":1055},{"_384":46,"_385":1053},{"_413":59,"_414":415,"_382":383},[1054],"Nejprve se podívám na soubor AGENTS.md v kořenovém adresáři pro pokyny.",{},"5a00fb84-da05-4ae3-9b33-d825941f5e23",{"_97":254,"_147":-5,"_376":1066},{"_384":46,"_385":1064},{"_1060":1061},"l1239dk1",{"_1062":1063},"inline_comments",[],[1065],"Vyber si část základny kódu, která se ti zdá důležitá, a najdi a oprav chybu.",{},1749056275.1187756,"Completing the task","event_type","info",{"_93":1218,"_1219":242,"_1220":1221,"_1222":1223,"_1224":-5},{"_93":1199,"_97":94,"_370":1200},{"_93":1074,"_1075":1076},"partial_repo_snapshot","files",[1077],{"_1078":1079,"_1080":-5,"_1081":1082,"_1083":-5},"path","streamlit_app.py","contents","line_range_contents",[1084],"missing_reason",{"_1085":175,"_1086":1087,"_370":1088,"_1089":59},"line_range_start","line_range_end",161,[1090,1091,1092,1093,103,1094,1095,1096,1097,1098,103,1099,1100,103,1101,1102,1103,103,1104,1105,1106,1107,103,1108,1109,1110,103,1111,1112,103,1113,1114,1115,1116,1117,1118,1119,1120,1121,1122,1123,1114,1115,1124,1125,1122,1126,1127,1128,1129,1130,1131,1132,103,1133,1134,103,1135,103,1136,103,1099,1137,103,1138,1139,1140,103,1141,1142,1143,1139,103,1144,1145,1145,103,1146,1147,103,1148,1149,1150,1151,1152,103,1153,103,1154,1155,1156,1157,103,1158,1159,103,1145,1145,1145,103,1160,1161,1162,1163,1164,1165,103,1166,103,1145,103,1167,1168,1169,1170,1171,1098,103,1145,1145,103,103,1172,1173,103,1174,103,1145,103,1175,103,1176,1177,103,1178,1179,1180,103,1181,1182,1183,1184,103,1185,1186,1183,1187,103,1188,1189,1190,1183,1191,1192,103,1193,1194,1195,1196,1197,1198],"contains_end_of_file","import streamlit as st","import pandas as pd","import math","from pathlib import Path","# Set the title and favicon that appear in the Browser's tab bar.","st.set_page_config("," page_title='Tulies GDP dashboard',"," page_icon=':earth_americas:', # This is an emoji shortcode. Could be a URL too.",")","# -----------------------------------------------------------------------------","# Declare some useful functions.","@st.cache_data","def get_gdp_data():"," \"\"\"Grab GDP data from a CSV file."," This uses caching to avoid having to read the file every time. If we were"," reading from an HTTP endpoint instead of a file, it's a good idea to set"," a maximum age to the cache with the TTL argument: @st.cache_data(ttl='1d')"," \"\"\""," # Instead of a CSV on disk, you could read from an HTTP endpoint here too."," DATA_FILENAME = Path(__file__).parent/'data/gdp_data.csv'"," raw_gdp_df = pd.read_csv(DATA_FILENAME)"," MIN_YEAR = 1960"," MAX_YEAR = 2022"," # The data above has columns like:"," # - Country Name"," # - Country Code"," # - [Stuff I don't care about]"," # - GDP for 1960"," # - GDP for 1961"," # - GDP for 1962"," # - ..."," # - GDP for 2022"," #"," # ...but I want this instead:"," # - Year"," # - GDP"," # So let's pivot all those year-columns into two: Year and GDP"," gdp_df = raw_gdp_df.melt("," ['Country Code'],"," [str(x) for x in range(MIN_YEAR, MAX_YEAR + 1)],"," 'Year',"," 'GDP',"," )"," # Convert years from string to integers"," gdp_df['Year'] = pd.to_numeric(gdp_df['Year'])"," return gdp_df","gdp_df = get_gdp_data()","# Draw the actual page","# Set the title that appears at the top of the page.","'''","# :earth_americas: Tulies GDP dashboard","Browse GDP data from the [World Bank Open Data](https://data.worldbank.org/) website. As you'll","notice, the data only goes to 2022 right now, and datapoints for certain years are often missing.","But it's otherwise a great (and did I mention _free_?) source of data.","# Add some spacing","''","min_value = gdp_df['Year'].min()","max_value = gdp_df['Year'].max()","from_year, to_year = st.slider("," 'Which years are you interested in?',"," min_value=min_value,"," max_value=max_value,"," value=[min_value, max_value])","countries = gdp_df['Country Code'].unique()","selected_countries = st.multiselect("," 'Which countries would you like to view?',"," countries,"," ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])","if not selected_countries:"," st.warning(\"Select at least one country\")","# Filter the data","filtered_gdp_df = gdp_df["," (gdp_df['Country Code'].isin(selected_countries))"," & (gdp_df['Year'] <= to_year)"," & (from_year <= gdp_df['Year'])","]","st.header('GDP over time', divider='gray')","st.line_chart("," filtered_gdp_df,"," x='Year',"," y='GDP',"," color='Country Code',","first_year = gdp_df[gdp_df['Year'] == from_year]","last_year = gdp_df[gdp_df['Year'] == to_year]","st.header(f'GDP in {to_year}', divider='gray')","cols = st.columns(4)","for i, country in enumerate(selected_countries):"," col = cols[i % len(cols)]"," with col:"," first_year_country = first_year[first_year['Country Code'] == country]['GDP']"," last_year_country = last_year[last_year['Country Code'] == country]['GDP']"," if first_year_country.dropna().empty:"," first_gdp = float('nan')"," else:"," first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_000"," if last_year_country.dropna().empty:"," last_gdp = float('nan')"," last_gdp = last_year_country.dropna().iloc[0] / 1_000_000_000"," if math.isnan(first_gdp):"," growth = 'n/a'"," delta_color = 'off'"," growth = f'{last_gdp / first_gdp:,.2f}x'"," delta_color = 'normal'"," st.metric("," label=f'{country} GDP',"," value=f'{last_gdp:,.0f}B',"," delta=growth,"," delta_color=delta_color"," )","message",[1201,1202,1203,1204,1205,1206],{"_384":46,"_46":1217},{"_384":1211,"_1078":1079,"_1085":1215,"_1086":1216},{"_384":46,"_46":1214},{"_384":1211,"_1078":1079,"_1085":1212,"_1086":1213},{"_384":46,"_46":1210},{"_384":1207,"_1208":1209,"_1085":175,"_1086":383},"terminal_chunk_citation","terminal_chunk_id","a25ba5","\n\n**Testing**\n\n- ✅ `python -m py_compile streamlit_app.py`","repo_file_citation",130,148,"\n- Guarded metric computations against missing GDP values so the dashboard doesn’t fail on incomplete data",89,96,"**Notes**\n\n- Fixed an issue where the warning about selecting countries never triggered by moving it after the multiselect and checking `selected_countries` instead of the full country list.\n- Handled missing GDP data to prevent crashes when `first_year` or `last_year` lacks data for a selected country.\n\n**Summary**\n\n- Added a warning if no country is selected and moved the check after the multiselect control","pr","pr_title","pr_message","## Summary\n- guard against missing GDP data when selecting countries\n- warn users when no country is selected\n\n## Testing\n- `python -m py_compile streamlit_app.py`","output_diff",{"_93":1222,"_1225":154,"_129":248,"_1226":-5,"_253":1227,"_1228":-5,"_1229":175,"_1230":1231,"_1232":1233,"_1234":1235,"_1236":-5},"pre_apply_patch","repo_id","preapply_patch_base_commit_sha","diff --git a/streamlit_app.py b/streamlit_app.py\nindex b6c35c743d44879b1ca4832ca05bcd513adcd0c8..225cf9e151653c6b069acec02eea539e7561cfd2 100644\n--- a/streamlit_app.py\n+++ b/streamlit_app.py\n@@ -64,88 +64,98 @@ gdp_df = get_gdp_data()\n \n # Set the title that appears at the top of the page.\n '''\n # :earth_americas: Tulies GDP dashboard\n \n Browse GDP data from the [World Bank Open Data](https://data.worldbank.org/) website. As you'll\n notice, the data only goes to 2022 right now, and datapoints for certain years are often missing.\n But it's otherwise a great (and did I mention _free_?) source of data.\n '''\n \n # Add some spacing\n ''\n ''\n \n min_value = gdp_df['Year'].min()\n max_value = gdp_df['Year'].max()\n \n from_year, to_year = st.slider(\n 'Which years are you interested in?',\n min_value=min_value,\n max_value=max_value,\n value=[min_value, max_value])\n \n countries = gdp_df['Country Code'].unique()\n \n-if not len(countries):\n- st.warning(\"Select at least one country\")\n-\n selected_countries = st.multiselect(\n 'Which countries would you like to view?',\n countries,\n ['DEU', 'FRA', 'GBR', 'BRA', 'MEX', 'JPN'])\n \n+if not selected_countries:\n+ st.warning(\"Select at least one country\")\n+\n ''\n ''\n ''\n \n # Filter the data\n filtered_gdp_df = gdp_df[\n (gdp_df['Country Code'].isin(selected_countries))\n & (gdp_df['Year'] <= to_year)\n & (from_year <= gdp_df['Year'])\n ]\n \n st.header('GDP over time', divider='gray')\n \n ''\n \n st.line_chart(\n filtered_gdp_df,\n x='Year',\n y='GDP',\n color='Country Code',\n )\n \n ''\n ''\n \n \n first_year = gdp_df[gdp_df['Year'] == from_year]\n last_year = gdp_df[gdp_df['Year'] == to_year]\n \n st.header(f'GDP in {to_year}', divider='gray')\n \n ''\n \n cols = st.columns(4)\n \n for i, country in enumerate(selected_countries):\n col = cols[i % len(cols)]\n \n with col:\n- first_gdp = first_year[first_year['Country Code'] == country]['GDP'].iat[0] / 1000000000\n- last_gdp = last_year[last_year['Country Code'] == country]['GDP'].iat[0] / 1000000000\n+ first_year_country = first_year[first_year['Country Code'] == country]['GDP']\n+ last_year_country = last_year[last_year['Country Code'] == country]['GDP']\n+\n+ if first_year_country.dropna().empty:\n+ first_gdp = float('nan')\n+ else:\n+ first_gdp = first_year_country.dropna().iloc[0] / 1_000_000_000\n+\n+ if last_year_country.dropna().empty:\n+ last_gdp = 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